Custom AI Applications
Not another chat box.
We build AI products around your users, workflows, data and business model.
The difference
The model is the smallest part of an AI product. The rest is interface, data, permissions, evaluation and the edge cases real users find on day one. That rest is what we build.
What we build
Seven kinds of AI product.
Different shapes, same standard: real users, real data, and an AI core that earns its place in the interface.
Multi-tenant products with onboarding, plans and usage-based billing, built around an AI core your customers happily pay for every month.
- Multi-tenancy
- Usage metering
- Onboarding flows
- Model cost controls
Company-wide workspaces where teams use approved models, shared prompts and connected knowledge, with SSO, audit logs and spend limits.
- SSO & roles
- Prompt libraries
- Connected knowledge
- Usage governance
Analytics that surface anomalies, answer questions in plain language and turn a chart into a next action someone can take today.
- Natural-language queries
- Anomaly detection
- Narrative summaries
- Scheduled insights
Extract, classify and validate data from contracts, invoices and forms, with a human review queue wherever confidence is low.
- OCR & parsing
- Field extraction
- Confidence scoring
- Review queues
Purpose-built apps for intake, triage, approvals and case handling, where AI drafts, routes and checks the work before people sign it off.
- Intake & triage
- Approval chains
- AI drafting
- SLA tracking
Tools that compare options, forecast outcomes and show their sources, so experts decide faster without handing over control.
- Scenario modelling
- Forecasting
- Source citations
- Explainable scores
Domain-specific products for healthcare, legal, finance, logistics and more, built around the regulations, data and vocabulary of the field.
- Domain data models
- Compliance by design
- Expert in the loop
- Industry integrations
Product architecture
Six layers. One product.
Requests travel down the stack, answers travel back up. Select a layer to see what we build there.
Users
Customers, internal teams and admins, each with different jobs, permissions and patience. We design for all of them.
Application
Web, mobile and API surfaces where AI shows up inside the work, not in a separate tab nobody opens.
AI Layer
Models, prompts, retrieval, tools and evaluations, versioned and swappable without rewriting the product around them.
Business Logic
Rules, workflows, permissions and billing: the layer that makes AI output safe to act on.
Data
Operational databases, vector stores and warehouses, synced and permissioned so the AI always sees the right context.
Infrastructure
Cloud, queues, caching and monitoring sized for real traffic, and for real model bills.
Product development process
From a sharp idea to a product people use.
Product, design and AI engineering in one team, so the model, the interface and the business case are shaped together.
- 01
Product Discovery
Users, jobs to be done, business model and the one metric the product must move.
Product brief - 02
UX Architecture
Flows and information architecture, and the moments where AI earns its place.
Prototype - 03
AI Architecture
Models, retrieval, tools, guardrails and a cost envelope chosen for this product.
AI blueprint - 04
Engineering
Frontend, backend and AI layer built together in short, demoable iterations.
Working product - 05
Evaluation
Quality, safety, latency and cost scored against real user scenarios.
Eval suite - 06
Launch
Staged rollout with analytics, monitoring and a feedback loop from day one.
Live release - 07
Iteration
Usage data and evals drive the roadmap, model upgrades and new features.
Release cadence
Features
Everything a real product needs.
The parts nobody demos and every user notices. We build them in from the first release.
Authentication. Email, social and enterprise SSO sign-in, with MFA and session security handled from day one.
User management. Invites, teams, roles and profiles, so the product scales from one account to thousands.
AI workflows. Multi-step AI features wired into the product: draft, review, approve, act, with every step observable.
Memory. Per-user and per-workspace context that makes the AI feel consistent, with clear controls to forget.
Data integration. Connectors, syncs and imports that bring the right data in and keep it fresh.
Analytics. Product and AI usage analytics: adoption, outcomes, cost per feature and where users get stuck.
Permissions. Role- and record-level access that the AI respects as strictly as the interface does.
Billing. Plans, seats, usage-based pricing and invoices, including metering for AI consumption.
Admin tools. Back-office screens for support, configuration, feature flags and content moderation.
Observability. Logs, traces, evals and alerts across the app and the AI layer, so issues surface before users report them.
We don’t wrap AI. We build products around it.
Scroll the product apart: an interface people trust, an AI layer that does the work, and data that keeps it honest.
Next step
Ready to turn AI into a product?
Bring the idea, the workflow or the half-built prototype. We’ll help you shape it into something people choose to use every day.
Build your AI product