Solutions
Build AI Into Your Business
AI earns its place when it is connected to your data, your workflow and your product. These are the capabilities we build and integrate.
Where AI helps
Problems worth pointing AI at
We start from a task that is slow, expensive or error-prone — not from a model.
Document-heavy processes
Invoices, contracts, forms and IDs read, extracted and validated instead of retyped.
Knowledge nobody can find
Retrieval over your own documents so answers come with a source, not a guess.
Repetitive decisions
Agents that triage, classify, route and escalate inside an existing workflow.
Onboarding friction
Identity and document verification that shortens signup without weakening it.
Manual hand-offs
Automation across the systems your team copies data between all day.
Products without AI
Model integration into an existing application — no rewrite, no separate product.
Solution areas
Each of these is a full engagement, not a feature flag.
AI Solutions
Model integration, retrieval systems, document intelligence and AI features built into applications people already use.
- AI application development
- AI integration into existing products
- RAG and knowledge-base systems
AI Agents
Agents and assistants that operate inside your existing tools — reading, deciding, acting and escalating when they should not decide alone.
- Task-completing AI agents
- AI assistants for internal teams
- Tool and function calling
Identity & Verification
Document capture, OCR, face detection and matching, and the verification workflows that turn all of it into a decision.
- AI-powered identity verification workflows
- ID and document verification
- OCR and data extraction
Business Automation
Workflow automation, system integrations and internal dashboards that eliminate the manual steps between the tools you already pay for.
- Workflow automation
- Third-party system integrations
- Internal business systems
Being straight about it
What we will tell you
AI is a tool with real limits. We would rather say so at the start than at the end.
If a rule would do the job, we will say so
Plenty of "AI problems" are solved better and cheaper by a query, a validation rule or a well-placed integration.
Model output needs a check
Anything that touches money, identity or a legal outcome gets a review step. We design that in from the start.
Your data decides the ceiling
Retrieval and extraction are only as good as what they read. Sometimes the first phase is fixing the data.
Costs are ongoing
Model calls are a running expense. We size and cap them, and design so a provider can be swapped.
Evidence
AI and automation work
AI Identity Verification & Classification
An API-driven verification service that grades a selfie-with-ID against ten independent checks, returns a structured decision with a reason for every...
The problem
Manual identity review has three failure modes and the client had all of them. It does not scale: every submission costs a person...
- PHP
- Python
- Yii2
- REST APIs
- +7
Construction Project Management Platform
A project, time and billing system for a design-build studio: phases, tasks, file notes, tracked hours and billable items that assemble themselves int...
The problem
Tracking several simultaneous builds across a team is tedious in a specific way: the data that matters for billing is generated in...
- JavaScript
- HTML
- CSS
- jQuery
- +3
Have a process worth automating?
Tell us what the work looks like today. We will tell you whether AI is the right answer — and what it would take.