[ 3–16 weeks · Per system ]
AI that runs on your data. Not someone else's.
Every AI system we build is grounded in your business data — not generic models. That's the difference between AI that sounds good and AI that actually works.
[ Featured · AI Product Build ]
From your data to a working AI product in 4–6 weeks.
For companies with a single data source and a defined use case — an operations file, a client database, a spreadsheet that runs the business — that want an AI-powered application on top of it: data ingestion and structuring, an automated model (scoring, classification, prediction), and an AI assistant connected to your data.
Built on our production-ready reference architecture: secure gateway (authentication, input validation, PII sanitization, rate limiting) and multi-agent orchestration with governance, logging and human-in-the-loop controls.
$11,000 USD — two fixed-scope build sprints
Entry point: Clarity Sprint ($2,500, 100% credited). With the credit applied, your total investment is $11,000.
[ What's included (fixed scope) ]
- ▸Up to 2 data sources (e.g., a spreadsheet/CSV set + one system via API or export)
- ▸1 AI/ML flow (scoring, classification, prediction or automation) + 1 AI assistant connected to your data
- ▸One web application (ingestion, validation, dashboard) for a single company/legal entity, up to 3 user roles
- ▸Deployment on your cloud (Azure/AWS/GCP), documentation and handoff
- ▸Data structuring is included — no separate Data Foundation project needed at this scale
[ What extends the scope (+$5,500 per additional sprint) ]
- ▸Each additional data source or AI/ML flow
- ▸Third-party integrations beyond the included sources (WhatsApp, CRM, payment processors)
- ▸Additional user-facing modules or portals
[ Not covered by this offering (we'll route you to the right service instead) ]
- ▸3+ data sources or daily automated pipelines → Data Foundation
- ▸ERP/SAP integration, multiple legal entities, or multi-tenant governance → Enterprise Discovery
- ▸Real-time streaming, custom model fine-tuning, or regulatory certification processes → scoped separately
Scope is locked during the Clarity Sprint. Anything discovered later that falls outside it is quoted as an additional sprint — never absorbed, never improvised.
[ AI Modules ]
Modules that run on top of a unified data layer.
These modules require your data to be structured and reliable first. There are three ways to get there: our AI Product Build (data structuring included), a Data Foundation project, or your existing enterprise data platform validated through an Enterprise Discovery. If you're starting from scratch, begin with the AI Product Build.
Copilot (RAG) · $11,000 USD · 2 sprints
Sprint 1 delivers a working copilot on one use case with your real data; Sprint 2 expands coverage, hardens and deploys. Ask questions about your business data in plain language and get instant, accurate answers grounded in your documents.
Forecasting · From $11,000 USD · 2 sprints
Demand prediction, sales forecasting and trend analysis with custom ML models trained on your historical data. Additional models or business units: +$5,500 per sprint.
AI Content Automation · $5,500 USD · 1 sprint
Automate reports, emails, product descriptions and social posts, integrated with your existing tools. Outcome: reclaim hours weekly without sacrificing quality.
AI Agents · From $11,000 USD · 2 sprints
An AI that doesn't just answer — it acts. Executes multi-step business processes autonomously with human oversight. Outcome: complex workflows run automatically.
[ Requires ]
AI needs a real data layer underneath.
We don't deploy AI on top of brittle data. Pairs naturally with Data Foundation; we'll sequence them in one plan if needed.
[ 3–16 weeks · Per system ]
Book a Discovery Call
Every AI system we build is grounded in your business data — not generic models. That's the difference between AI that sounds good and AI that actually works.