How to Work with Thinkata
Production AI engineering, from a first review to a running system.
Where Thinkata helps
From proof of concept to production
Turn an AI prototype into a dependable system with tests, monitoring and cost controls.
Agent workflows
Agents with guardrails, evaluation and human review where it matters.
Search over your own knowledge
Search and assistants grounded in your company's documents and data, with the source attached so a person can check the answer.
Workflow automation
Review, triage, intake, fraud checks, and document exchange with outside parties. Uncertain cases go to a person, and each decision is recorded.
Cloud architecture and AI cost
Architecture that stays observable and keeps AI spend predictable.
Multi-tenant SaaS
A single-customer app converted into a secure product that serves many clients.
Security and compliance groundwork
Ready for an enterprise sale or audit before it arrives.
Engagements
AI Build-Quality & Velocity Audit
A review of an existing AI codebase or agent workflow. It shows where generation outruns verification, what's missing before production, and what it would take to close the gap. You get a written assessment and a prioritized plan. It's the usual first step before a build.
Production AI Build Sprint
A defined AI capability built to production quality: a feature, an integration, an automated workflow, or an agent. Acceptance includes tests and automated checks, not a demo. Scope comes out of the Audit.
Fractional AI Engineering Lead
Ongoing senior AI engineering and architecture leadership. Ownership of the specification, the quality bar and production-grade review while your team ships.
Advisory Retainer
Judgment without the build commitment. Architecture review, model and tooling strategy, async review and scheduled calls.
How engagements run
Every engagement runs the same way. The rules and the quality bar are written down first. AI-accelerated engineering does the build at the pace of a full team, and automated tests and checks guard every change. You get a working system, clear written updates, estimates given as honest ranges, and a codebase your future team can maintain.
Not sure which fits?
Send a short description of what you're building or where your workflow slows down. You'll get a practical plan, the main risks and a realistic timeline.