Build

AI Solutions as a ServiceWe build AI into the way your business works.

Agents, document reading, and automation connected to the systems your team already uses, with a person approving every decision that carries risk.

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What we build

Eight kinds of AI system, each connected to the tools your team already uses.

AI agents

Software that works through multi-step tasks, calls your tools and APIs, and stays inside the limits you set.

Process automation

Approvals, onboarding, vendor checks, and compliance reports handled as automated steps, with policy checks built in.

Knowledge assistants

Answers from your wikis, procedures, contracts, and code, with a link to the source for every answer.

Document reading

Structured, validated data pulled from PDFs, forms, invoices, ID documents, and manuals, handwriting included.

Support agents

Agents that answer customers in their own language, take simple account actions, and hand over to your team when they should.

Custom AI applications

Products built around your own data, your interface, and the models that suit the job.

Internal tools

Assistants and dashboards that take routine research and reporting off your team's plate.

Intelligent routing

Incoming emails, forms, and requests read, sorted, and sent to the right person or system.

Who does what

Software takes the routine, rules-based work. Anything that needs experience stays with a senior engineer.

Handled by software

Reading documents and extracting the data
Routing requests and drafting replies
Running the evaluation tests on every change
Monitoring accuracy, speed, and cost in production

Owned by our engineers

Choosing where AI fits, and where it doesn't
Which models and data to use, and why
The rules for what needs a person's approval
Investigating anything the system gets wrong

From idea to production

Four stages, from checking the data to running the system safely.

Feasibility and data check

We look at the problem, check the data you have, measure how accurate a first version can be, and set the safety limits.
Design

We choose the models, plan how your documents are searched, and define the exact format every answer must follow.
Integration

We connect the system to your databases, APIs, and ERP, with review points where a person approves the result.
Production

Secure hosting, with accuracy, response time, and cost tracked from the first day.

Guardrails built in

What stops an AI system from doing something it shouldn't.

Your data stays yours

We choose providers and settings that don't train on your data. Customer details and financial records stay out of public models.

Checked outputs

Model output is checked against strict formats, calculations, and fixed rules before the system acts on it.

People approve risky actions

Payments, legal sign-offs, and cancellations wait for a person to approve them, with an alert in Slack or email.

Cost control

Routine tasks go to small, fast models. Larger, more expensive models are used only when a task needs them.

How you pay

Milestones, then a monthly plan

Building the system is priced as fixed milestones, and you pay for each one when you accept it. Once it's in production, a monthly plan covers monitoring, testing, and improvements.

See how pricing works