Sapnity™ designs, builds, and operates AI systems for enterprises running on Microsoft. We ship our own IP. We run on real customer data. We walk away from claims we can't back.
The industry has a credibility problem. Slides promise lift. Demos run on synthetic data. Benchmarks get quoted without methodology. Pilots stall in procurement and never reach production. The result is a generation of AI investments that look impressive in steering committees and disappear in operations.
Sapnity AI Foundry was built to go the other way.
We ship our own IP. We run on real customer data. We publish honest benchmarks — MAPE, MAE, lift — with like-for-like methodology. And we walk away from claims we can't back.
Boutique team. No junior-pyramid switch after sales close.
Three products live on Microsoft AppSource. Not slideware.
Published MAPE and MAE, like-for-like methodology.
Data foundation through to consumption in Dynamics 365 and Power Apps.
We design, build, and operate AI systems for enterprises running on Microsoft. We bring our own IP, integrate it with Azure AI Foundry, Copilot Studio, Dynamics 365, Power Platform, and Fabric — and take accountability for it reaching production.
ForecastIQ — Python AutoML with seven strategies, walk-forward and holdout validation. SKU-level MAPE/MAE benchmarking on real shipment data.
Live demo: controltowerss.sapnity.comsmartplant — Full AI manufacturing intelligence platform with eleven modules and embedded AI features.
Live demo: smartplant.sapnity.comReference architectures — Accelerators for the Microsoft AI co-sell motion. Production deployments across Customer Service and Field Service.
Live demo: opg.sapnity.comFive phases. Each one ends in something that survives the next conversation — a decision, a model, a number, a deployed asset — not just slides.
Map the decision the AI must change. Inventory data, systems, constraints. Define done.
Choose models, platforms, and integration points. Pre-commit to benchmarks and methodology.
Engineer the system end-to-end — data foundation, model, consumption layer, governance.
Run honest validation. Walk-forward, holdout, like-for-like. Publish the numbers.
Operate in production. Monitor drift, retrain, evolve. Hand-off only when stable.
Built for production, not pilots.
Anonymised pending customer reference permissions. Named references available on request under NDA.
Multi-strategy forecasting engine (seven strategies, walk-forward and holdout validation) applied to live shipment data across three product families. Like-for-like comparison against the client's incumbent forecaster.
Sub-10% MAPE achieved on multiple SKUs, beating the client's published benchmark.
End-to-end plant intelligence platform with eleven modules — OEE, quality, predictive maintenance, AI operator workflows. Built on Microsoft data foundation, designed for shop-floor consumption.
CAD 15–25M value framing for full production deployment.
Customer Insights (Data) unification across 14M+ customers. CLV and churn prediction models in production. Copilot Service Workspace, Unified Routing, and case automation across email and webform.
Grade A CLV model run in production at scale.
Multi-plant, multi-3PL control tower with commodity price tracking, ABC inventory, manpower visibility, 3PL billing, and a recommended-action panel pinned to a CXO strip.
Live engagement with structured supply manager feedback driving iterative scope.
Sapnity is a Microsoft Cloud Partner shipping AI products on the commercial marketplace. We bring our own IP to client engagements alongside the full Microsoft AI stack.
Azure AI Foundry · Azure OpenAI · Copilot Studio · Microsoft 365 Copilot · Dynamics 365 · Power Platform · Microsoft Fabric
Browse Sapnity on Microsoft AppSourceEach tier is fixed-scope on the front end. We agree the deliverable, the benchmark, and the methodology before work begins — so the conversation at the end is about outcomes, not status.
AI readiness assessment, decision-mapped use cases, architecture sketch, business case, go/no-go recommendation.
You have AI ambition but no clear roadmap, or a stuck pilot you need to unblock.
Get in touchWorking AI system on your real data with published benchmarks. End-to-end thin slice — data through consumption.
You need evidence before committing to a production programme.
Get in touchFull production deployment. Data foundation, model lifecycle, consumption layer, governance, run-state handoff or managed operate.
You're ready to deploy and want senior delivery accountability to the finish line.
Get in touch