Every service is built, put live and run for you on a monthly plan. Search, or filter by sector and category.
For online sellers losing money on returns. The AI scores each new order for its chance of being returned and the likely reason, then triggers a helpful step like a fit tip, extra photos or a quick check before shipping.
For owners who want to know what will actually close this month and quarter. The AI estimates each deal's chance and timing from your CRM history and rolls it up into a forecast, flagging deals that are slipping.
A voice AI that answers your business phone in a natural voice, greets callers, answers your FAQs, takes messages, and routes urgent calls to you — trained on your business.
A voice AI that calls back new leads within minutes of them asking for a call and ticking your call-consent box, says up front that it is an AI, and books the next step — the follow-up you never have time to do. It never calls anyone without recorded consent.
A voice AI that takes reservations, manages your waitlist, and fills cancellations by calling the next guest — well suited to restaurants, salons and studios.
An AI agent that reads the request, checks your policy, processes the refund or return in your system, and replies to the customer — closing the loop automatically.
We connect your disconnected tools (forms, CRM, email, spreadsheets, invoicing) so data flows automatically and the manual copy-paste between them disappears.
An AI agent that reads invoices and receipts, extracts every line, codes them correctly, and files them into your accounting — no more manual data entry.
An AI agent that logs every call (where callers were told it is recorded), email and interaction into your CRM automatically, updates statuses, and flags who needs follow-up — a clean CRM with zero admin.
An AI agent that takes each new order, updates inventory, triggers fulfillment, and keeps the customer informed automatically — end to end.
An AI agent that runs your onboarding — sends the right docs, collects what's needed, sets up accounts, and checks nothing was missed — the same great start every time.
An AI agent that reads the customer's problem, takes the real action to fix it (refund, reschedule, update, look-up), and only escalates the truly hard ones — cutting your ticket load dramatically.
A live-chat AI that answers visitor questions from your real info, guides them to the right product, and captures the sale or lead — grounded, never made-up.
An AI agent on your WhatsApp Business that answers questions, shares your catalogue, books and takes orders — meeting customers where they already are.
We produce a steady stream of on-brand ad creatives, product descriptions and creator-style content that is clearly the brand's own (never presented as real customer reviews or testimonials) so your ads and store never go stale.
An AI that reads your incoming documents and forms, pulls the key data, and files it where it belongs — the end of manual paperwork.
An AI SDR that researches companies that fit your ideal customer from company-level public data, drafts personalized emails for you to approve and send one-by-one from your own mailbox with an opt-out line, follows up with people who reply, and books meetings into your calendar.
An AI that asks every customer for a review at a well-timed moment, across email and text, and alerts you to any unhappy reply so you can fix the problem — without filtering who gets asked.
An AI that keeps your Google Business Profile and every listing optimized, posts weekly, and drafts review replies — the groundwork local-pack visibility is built on (no ranking is guaranteed).
An AI that categorizes every transaction, reconciles accounts, and flags anything odd — clean, current books without the manual work.
An AI that suggests a relevant add-on to each customer at a well-timed moment — bigger baskets without discounting.
An AI that spots customers who've gone quiet and runs personalized win-back offers across email and text to customers who opted in to marketing — revenue you'd written off.
An AI that runs your referral program — asks at the right time, tracks rewards, and nudges — word-of-mouth on autopilot.
A done-for-you loyalty program that rewards repeat customers automatically and brings them back more often.
A done-for-you Google Ads setup: campaign structure, keywords and ad copy ready to launch, conversion tracking, and a weekly optimisation checklist so your ads keep improving week by week.
A done-for-you Meta ads system: creative, targeting and optimization handled, so your ad budget finally pays off.
We turn your ordinary product photos into clean, professional, store-ready images that sell.
We virtually stage and enhance property or space photos so they present the space well, clearly labelled as virtually staged.
A branded client portal where customers book, pay, upload and track — looking bigger and more professional than you are.
A done-for-you membership site with gated content, payments and member management — a new income stream, built for you.
We build your complete online store — products, payments, shipping, the lot — so you can start selling online this week.
A done-for-you social media system that plans, writes, designs and schedules your posts across every platform.
We design and build a fast, beautiful website engineered to turn visitors into customers — ready to launch and grow your business.
A done-for-you backup and security setup that backs up your files and customer data, tests that restores work, and alerts you to suspicious activity it detects.
We diagnose and fix everything slowing your website down, so it loads instantly, ranks better, and loses fewer customers.
A complete event system — registration page, reminders, follow-ups — that fills your event and nurtures every attendee.
A deployed agent that decomposes a research brief into sub-questions, pulls from web sources, filings, review sites and your CRM, then writes a cited report with a confidence-scored findings table. It reruns on a schedule and diffs each new report against the last to surface what changed.
An agent that takes a purchase requirement, finds qualified suppliers, requests and normalizes quotes over email, and builds a scored comparison against your criteria (price, lead time, MOQ, compliance). It drafts the PO and holds it at a human-approval checkpoint before anything is sent.
An agent that takes raw inbound or list leads, enriches each with firmographics, tech stack, funding and buying signals, then scores fit against your ICP and writes a one-line rationale. It syncs the enriched, scored record straight into your CRM and flags junk for review.
An agent that builds targeted company lists from your ICP using company-level public data only (no scraped personal contact lists), researches each account for a genuine trigger event, and drafts a personalized first-touch grounded in that trigger. Every draft is queued for human approval and sent one-by-one from your own mailbox with an opt-out line, with the research shown alongside.
An agent that audits your CRM pipeline nightly for stale deals, missing next-steps, wrong stages and duplicate opportunities, then applies fixes it's authorized for and queues the rest for the owning rep. It posts a daily hygiene report with what it changed and what needs a human.
An agent that continuously scans your CRM for duplicate accounts/contacts, malformed fields, and orphaned records, then merges and normalizes within rules you set. It presents ambiguous merges as review cards and keeps a reversible log of every change.
An agent that audits your product catalog for missing attributes, weak titles/descriptions, and mis-categorized SKUs, then generates and writes back enriched, on-brand content. It validates against your taxonomy and holds bulk changes for merchandiser approval.
An agent that continuously monitors your suppliers for financial distress, adverse media, and delivery-performance decay, scoring each on a risk index. It opens a review case and drafts a mitigation plan when a supplier crosses a risk threshold.
An agent that ingests supplier invoices from email and portals, extracts line items, three-way matches them against POs and receipts, and routes exceptions for approval. It schedules clean invoices for payment within terms and posts everything to your accounting system with an audit trail.
An agent that watches your aging report, sequences email payment reminders to your business customers (B2B invoices only, never consumer debts) by account and relationship, and offers payment plans within pre-set terms. It escalates disputes and hardship cases to a human and logs every promise-to-pay.
An agent that intakes warranty claims, verifies coverage and serial/purchase records, requests missing evidence, and adjudicates within policy to approve, deny or route repairs. It drafts the customer decision letter and escalates ambiguous claims to a specialist.
An agent that analyzes item-level sales and food costs, recommends menu and pricing changes to boost margin, and translates the resulting demand into supplier orders. It drafts orders against par levels and holds them for the manager's approval before sending.
An agent that takes a shipment request, gathers rates across carriers and modes, applies your routing rules and constraints, and books the winning option. It generates documentation, schedules pickup, and holds any quote above a threshold for a human's approval.
An agent that tracks every shipment across carriers, detects delays, misroutes and delivery exceptions in real time, and takes corrective action — rebooking, filing claims, notifying customers — within policy. It escalates high-value or unrecoverable exceptions to an ops manager.
An agent that assembles export/import documentation for each shipment — suggesting HS codes for your customs broker to confirm, and preparing commercial invoices and packing documents. It flags missing or inconsistent documents and holds submission for your customs broker's sign-off.
An agent that ingests inspection data and images from the line, classifies defects, correlates them to batches and machines, and opens non-conformance cases with root-cause hypotheses. It triggers containment steps within policy and escalates systemic quality trends to engineering.
An agent that takes a BOM, finds compliant parts and suppliers, checks availability, lead time and lifecycle status, and identifies alternates for at-risk components. It builds a costed, risk-flagged sourcing plan and drafts POs held for an engineer/buyer's approval.
An agent that reconciles orders, inventory and pricing across your distributors and your ERP, catching mismatches, missed EDI messages and stale price files. It corrects the discrepancies it's authorized to and files the rest as cases for the channel team.
An agent that validates trade-promotion and rebate claims from partners against contract terms and sell-through proof, clears valid claims for payment, and disputes invalid ones with evidence. It flags claim-fraud patterns and escalates high-value disputes to the trade-marketing lead.
An agent that drives a deal from configured quote through approval, order, invoicing and payment, enforcing pricing/discount policy and keeping CRM, CPQ and ERP in step at each stage. Out-of-policy discounts and large deals route to the right approver before proceeding.
An agent that processes partner/reseller deal registrations: checking for channel conflict and duplicates, validating eligibility, and approving or routing each within program rules. It notifies partners of decisions and keeps the partner portal and CRM in sync.
We build a bidirectional integration between your CRM and ERP so accounts, orders, invoices, and inventory stay consistent across both. The middleware maps schemas, resolves conflicts, and queues changes so neither system blocks the other.
We build an MDM hub that unifies your core entities — customers, products, suppliers — into golden records with survivorship rules across source systems. It resolves duplicates, standardizes attributes, and publishes the trusted version back out.
We synchronize inventory levels across your online store, marketplaces, and physical POS in near real time so a sale on one channel decrements stock everywhere. The engine handles rate limits, conflicts, and oversell protection.
For companies whose software talks to many outside services, each with its own quirks. We build a middle layer that handles logins, retries and limits for every provider and gives your apps one clean connection. AI watches errors and explains provider problems in plain words.
We build a pipeline that ingests product data from suppliers and internal sources, normalizes attributes and units, enriches with categories, and publishes a clean catalog to your storefronts. It handles feed formats and de-duplicates variants.
For growing apps whose main database is hitting its limits. We split data across several servers with a routing layer, keeping your app working the same way, and move live data without taking you offline. AI watches load and explains slowdowns.
We connect the systems along your order-to-cash process — storefront, fulfillment, invoicing, payment — so an order's full lifecycle flows automatically without manual handoffs. Status stays synchronized end to end.
We build a data flow that takes in and standardizes data from new suppliers whatever their file format or field names, mapping each onto your own structure with checks. Onboarding a supplier goes from weeks to hours.
We build a pipeline that normalizes transactions across currencies, applying correct exchange rates by date and producing consolidated financials in your reporting currency. International operations roll up correctly.
We aggregate your sales, fees, payouts, and returns from every marketplace you sell on into one normalized dataset, reconciling each platform's quirks. You see true unit economics across channels in one place.
We build a service that enriches your records with third-party data — company size and industry, the tools they use and public company-registry data — calling providers efficiently with caching and fallback across sources. Thin company records become complete.
We add robust conflict resolution to a two-way sync where both systems can edit the same record, defining deterministic rules and merge strategies so concurrent edits resolve predictably. The dreaded sync loop and overwrite problems end.
We migrate data into a new ERP, profiling and cleansing the source first — deduplicating, standardizing codes, and fixing broken references — so the new system starts clean. We validate every module's data post-load.
For factories whose machine data is stuck on the shop floor. We safely bridge your machine controllers and supervisory systems to your business data platform, so production data reaches dashboards without disrupting operations. AI flags machine stoppages and data gaps in plain words.
We build a service that packages large datasets on demand or schedule and delivers them securely to partners or clients in their required format, with encryption, manifests, and delivery confirmation. Recurring data handoffs run themselves.
Ingests monthly vendor statements and reconciles every listed invoice, credit, and payment against your AP ledger to surface missing invoices, short-paid items, and duplicate charges. Discrepancies are compiled into a dispute-ready worksheet and routed to AP staff.
Parses carrier freight and parcel invoices, matches each shipment charge to the rate contract, accessorials, and the original booking, and flags overcharges, duplicate bills, and disallowed surcharges. Clean invoices post to accounting while disputes are packaged for the carrier.
Automatically matches purchase orders, goods-receipt notes, and supplier invoices at the line level, tolerancing quantity and price variances against configurable thresholds. Fully matched sets auto-approve for payment while variances route to procurement with the exact mismatched lines highlighted.
Captures inbound purchase orders arriving as PDFs, emails, or EDI and converts them into structured sales orders, validating SKUs, pricing, and availability before creating the order in your system. Unmatched SKUs or pricing conflicts are held for a sales-ops reviewer.
Digitizes warehouse goods-receipt notes and delivery dockets, extracts received quantities per line, and reconciles them against open purchase orders to close or flag partial receipts. Short and over-deliveries are escalated with photographic evidence attached.
Extracts shipper, consignee, container, weight, and cargo details from bills of lading in any format and validates them against booking and shipment data. Discrepancies and missing fields route to operations before the shipment moves.
Cross-checks packing lists against commercial invoices and purchase orders line by line, verifying quantities, descriptions, and values across the trade document set. Mismatches that would stall customs or payment are flagged before shipment.
Captures signed proof-of-delivery documents and photos from drivers, extracts delivery status, exceptions, and signatures, and reconciles them against dispatched orders. Damaged or short deliveries are flagged and linked to the order for claims.
Extracts and validates certificates of origin, phytosanitary, and conformity certificates against the shipment and the per-destination document checklist your trade team maintains. Missing, expired or mismatched certificates trigger a hold and vendor follow-up for your team to resolve.
Parses supplier certificates of analysis, extracts each tested parameter and result, and verifies them against your specification limits per material and lot. Out-of-spec or missing parameters trigger a quality hold and supplier notification.
Parses remittance advices from any format, matches payments to open invoices, applies deductions and short-pays with reason codes, and posts cash to the accounting ledger. Unmatched payments and unexplained deductions route to AR staff.
Collects and monitors supplier compliance certificates — quality, food-safety, ethical, and environmental — extracting scope and expiry and verifying against your requirements per supplier and product. Expiring or missing certificates trigger holds and follow-up.
Digitizes supplier catalogs and product spec sheets into normalized SKUs with attributes, images, and pricing mapped to your product information model. Attribute conflicts and missing mandatory fields are flagged for merchandising.
We train a multi-horizon, SKU-and-location-level forecasting model on your full sales history, calendar, promotions and price changes, then deploy it as a service that emits daily, weekly and monthly demand curves with prediction intervals. It backtests against your own held-out history so you see real accuracy before you trust it.
For products with zero sales history, we build a model that predicts first-season demand from attributes, pricing, comparable-item analogues and early pre-order signals. It transfers patterns learned across your existing catalogue onto the new item so launches are planned on evidence, not optimism.
We decompose every product's sales into trend, multiple seasonal cycles and residual, then serve a clean baseline demand signal stripped of noise and one-off spikes. This gives planning teams a stable view of underlying demand and where it is genuinely accelerating or decaying.
We train a churn model on your subscriber or customer history — usage, billing, support tickets, engagement — that scores every account's probability of leaving in the next 30/60/90 days. It surfaces the specific risk drivers per account so retention teams act on causes, not just scores.
We combine demand forecasts with lead times, order costs, minimum order quantities and service-level targets to compute the optimal order quantity and timing for every SKU. Deployed against your inventory feed, it emits a daily buy list that hits your target availability at minimum holding cost.
We calculate SKU-specific safety stock from measured demand variability and lead-time variability at your chosen service level, rather than a blanket rule of thumb. It continuously re-tunes buffers as volatility shifts so you carry protection only where it's earned.
We model your central warehouse and local sites as one network and recommend how to position and rebalance stock across echelons to meet local demand at minimum total inventory. It flags transfers that pre-empt local stockouts using site-level forecasts.
We continuously score each SKU-location for probability of stocking out before the next delivery, combining current on-hand, in-transit, forecasted demand and supplier reliability. It raises alerts early enough to expedite or substitute.
We predict per-location sell-through for each product and size/variant to recommend which items and how deep to carry at each site. It trims tail SKUs that don't earn shelf space and deepens winners before they stock out.
For businesses whose equipment breakdowns stop work. We train a model on your machine sensor data, usage and maintenance logs to flag machines heading toward failure, giving a ranked maintenance list.
We forecast warranty claim volume and cost by product cohort and manufacture period, and flag emerging quality issues from early failure patterns. It gives finance a reserve forecast and quality teams an early defect signal.
We build a rolling 13-week and 12-month cash-flow forecast trained on your invoicing, payment behaviour, payroll, recurring costs and seasonality. Deployed against your accounting feed, it projects the daily cash balance with confidence bands and flags shortfall dates ahead.
We predict when each outstanding invoice will actually be paid, per customer, from historical payment behaviour, invoice size, terms and season. It converts your receivables ledger into a dated cash-inflow schedule.
We forecast the components of working capital — receivables, payables and inventory — and their net position over the coming quarters. It shows how growth, seasonality and terms changes will consume or release cash.
For businesses unsure how customers react to price changes. We measure how sensitive demand is for each product from your past price changes, separating out promotions and seasons, and show where you can raise prices and where you cannot.
For businesses with limited capacity or stock, like rooms, seats or seasonal goods. Our pricing engine recommends prices in real time from demand, remaining capacity, competitor prices and sensitivity, always within the floors and ceilings you set.
For businesses whose sales team must decide which accounts to call. We predict the size and margin of each customer's next order and combine it with how likely they are to buy now, ranking accounts by the value of contacting them today.
We predict production yield and scrap rate per batch or run from process parameters, materials, machine and environmental conditions. It flags runs likely to yield poorly before or early in production so parameters can be corrected.
We predict which orders or SKUs will go on backorder given inbound supply, demand forecasts and supplier lead-time risk. It surfaces looming backorders early enough to expedite, substitute or set customer expectations.
We forecast crop and field yield from historical yields, inputs, soil, and satellite-derived vegetation and weather signals. It projects harvest volume and timing per field to plan labour, logistics and sales commitments.
We forecast recurring renewal revenue by combining per-account renewal probabilities, expansion and contraction predictions into a bookings-and-revenue projection. It gives SaaS and subscription leaders a bottom-up net-revenue-retention forecast.
We predict scrap and rework rates per order and line from job specs, materials, machine state and operator, flagging jobs likely to generate high rework before they run. It links quality outcomes to controllable inputs.
We predict which shipments or deliveries will miss their SLA from lane, carrier, weather, volume and historical performance, early enough to intervene. It forecasts aggregate on-time performance and flags at-risk consignments.
Solves the vehicle routing problem across your fleet with time windows, capacities, driver shifts, and live traffic to produce least-cost daily routes. Re-optimizes mid-day for new orders, cancellations, and delays, dispatching turn-by-turn sequences to drivers.
Decides which items to mark down, by how much, and when to clear aging or seasonal stock before it loses value. Balances sell-through against recovered margin and coordinates markdowns across stores and channels.
Computes how to pack orders, pallets, and cartons into containers or trucks to maximize fill and respect weight, stacking, and fragility rules. Produces a 3D load plan and loading sequence for the warehouse.
Balances sales territories by potential, workload, and travel while assigning fair, achievable quotas aligned to company targets. Rebalances as reps join, leave, or accounts move, keeping coverage equitable.
Predicts the incremental lift and cannibalization of each promotion and selects the promo calendar that maximizes profit within budget and trade-spend limits. Avoids overlapping promos that steal from each other.
Forecasts inflows and outflows and recommends the timing of payments, collections, and short-term financing to avoid shortfalls at minimum cost. Optimizes payables/receivables and buffer levels against a liquidity policy.
Assigns SKUs to storage locations to minimize picker travel based on velocity, affinity, and ergonomics. Recomputes slotting as demand shifts and produces re-slotting move lists for the team.
Sequences jobs across machines to minimize makespan and late orders while respecting setups, capacities, and material availability. Reschedules on breakdowns and rush orders and pushes the plan to the shop floor.
Optimizes inbound/outbound dock door assignments and carrier appointment times to smooth flow and cut detention. Balances yard capacity, labor, and trailer priorities across the day.
Takes supplier bids with volume discounts, capacities, and quality/lead-time constraints and computes the lowest-cost sourcing split. Handles multi-item, multi-supplier awards with business rules.
Decides which products to stock at each store based on local demand, space, and assortment rules. Tailors range by location to lift sales per square foot while controlling SKU proliferation.
Recommends optimal timing for harvest, planting, or production actions to maximize yield and value given weather, prices, and capacity. Balances quality windows against logistics and market conditions.
Chooses the cheapest mode and carrier per shipment that still meets the delivery deadline, consolidating loads where possible. Optimizes across LTL, FTL, parcel, and intermodal with live rates.
Allocates trade-promotion budget across accounts, brands, and periods to maximize retailer sell-through and manufacturer profit. Optimizes the plan against measured historical ROI and constraints.
Decides for each returned item whether to restock, refurbish, liquidate, or scrap, and routes it to the lowest-cost, highest-recovery destination. Optimizes reverse flows across facilities.
Allocates shared stock across sales channels and fulfillment nodes to maximize margin and service under demand uncertainty. Decides which node ships which order to cut split shipments and stockouts.
Designs sales commission structures that drive target behaviors while capping cost and avoiding perverse incentives. Simulates rep responses to plan changes before rollout.
Sets timed markdowns on dated perishables to maximize recovered revenue before expiry across each store. Predicts sell-through at each discount and schedules reductions per item and shelf life.
Computes cutting and nesting plans for sheet, roll, or bar stock to minimize waste for a set of orders. Optimizes layouts respecting grain, kerf, and machine constraints and outputs job sheets.
Structures the optimal mix of price discount, add-ons and trade-in allowance that closes a deal at target profit (financing terms stay with your licensed lender). Uses predicted close probability and customer sensitivity to shape each offer.
Determines the optimal number, location, and role of warehouses and flows to minimize total landed cost at target service. Optimizes sourcing, production, and distribution across the network.
Allocates shelf space and positions across categories and SKUs to maximize sales per linear foot given demand and adjacency rules. Produces optimized planograms and re-optimizes with demand shifts.
We build a pipeline that runs models over millions of records efficiently with checkpointing, retries, and cost controls. Large scoring jobs run overnight and resume cleanly if interrupted.
For software companies adding AI features for many business customers. We build one backend that keeps each customer's data strictly separate, meters their usage and lets you set limits and models per plan.
For software teams connecting several apps to their AI backend. We build a typed code library with retries, streaming, logins and error handling built in, plus documentation and examples in the languages your team uses.
We consolidate every location's operations playbook, brand standards and regional variants into one governed assistant, so any franchisee gets the approved answer for their market. Region-specific rules are enforced through metadata so no one gets another market's policy.
We deploy a returns-abuse system that scores customers and orders for serial returning, bracketing, worn-item returns and return fraud using purchase and return history plus item-condition signals. High-risk returns are routed to manual inspection while good customers keep frictionless returns; statutory return rights are never removed.
We deploy a detector that finds fraudulent cashback and rebate claims — fabricated receipts, duplicate submissions, and self-referral loops — by validating receipts and linking claimant accounts. Suspicious claims are held for verification before payout.
We deploy a monitoring service on temperature, humidity and door-event sensors across your cold-chain that detects excursions and spoilage risk in real time. Alerts and predicted spoilage windows fire before product is lost, with a full excursion log.
We build a detector on vehicle telematics that flags fuel theft, unauthorized use, harsh-driving risk and odometer/route anomalies across your fleet. Flags feed a vehicle-level review queue for action; drivers are not individually scored or ranked.
For manufacturers who find defects only after a batch is ruined. We connect your line sensors to a monitor that spots drifting conditions early and tells operators which stage and setting to check.
For businesses with an API or website whose data gets scraped or whose API gets abused. We build a detector that learns each client's normal use and slows, traps or cuts off abusive ones.
We deploy a detector that finds procurement fraud — bid rigging, split purchases to dodge approval limits, and vendor-employee collusion — by analysing purchasing patterns and entity relationships. Suspicious activity is cased with the supporting purchase and relationship evidence.
We build a detector for fraudulent and business-email-compromise invoices that flags fake vendors, altered bank details, and duplicate or inflated invoices before payment. Suspicious invoices are held with the anomaly and any bank-detail-change evidence for AP verification.
We deploy an accounts-payable matcher that finds duplicate and erroneous payments across invoices, vendors and payment runs using fuzzy matching on amounts, references and dates. Matches are surfaced pre-payment for holds and post-payment for recovery.
We build a detector that finds fictitious and shell vendors by cross-checking vendor master data against registries, employee records, and address/bank overlaps, and by profiling unusual payment patterns. Suspect vendors are flagged for verification before further payment.