USA · AI development agency

AI development agency for US SaaS teams.

Techtribe helps US SaaS teams move from AI product ideas and MVPs to AI features in existing software. We build LLM apps, agents, and RAG systems with evaluations, monitoring, and model fallbacks. Projects have a clearly defined scope, 4+ hours of overlap with US Eastern, and 30 days of free support.

Need a focused, fixed-scope AI MVP? See the AI MVP scope and FAQs.

Why US teams hire us

Shipped AI, measured like software.

Agents & RAG in production

Autonomous agents inside SAP, RAG over client data, 75+ AI tools on one platform — owned end to end, not prompted.

No model lock-in

OpenAI, Anthropic, Google, or open-weights on your infra, with routing and fallbacks so one provider's outage never takes you down.

Clearly defined scope

Scope, deliverables, and a ship date agreed on the call, with no surprises once the build starts.

Technology and expertise

AI systems built around the product workflow.

The tools depend on your use case, data, and infrastructure. These examples reflect published work and the capabilities described by Techtribe; we confirm the final architecture during scoping.

OpenAI, Anthropic, Google

Model providers selected and evaluated for the task, with routing or fallbacks where the scope needs them.

RAG and vector search

Retrieve relevant context from agreed data sources while accounting for user and data access boundaries.

Python, FastAPI and TypeScript

Build AI services, APIs, and product interfaces around the existing system.

Evaluations and monitoring

Review representative scenarios and monitor quality, latency, and cost for production workflows.

Development process

A bounded workflow, evaluated before release.

  1. Step 1

    Scope the workflow

    Define users, tasks, data access, available tools, integrations, and the expected role of human review.

  2. Step 2

    Design and evaluate

    Set model and retrieval choices, tool boundaries, representative evaluation cases, and failure handling.

  3. Step 3

    Build, ship, and support

    Implement the agreed workflow, review working demos, deploy to the agreed environment, and support the shipped scope for 30 days.

FAQ

Questions US teams ask about AI builds.

Which AI models do you build on?

Whichever fits: OpenAI, Anthropic, Google, or open-weights on your infra. Every production build has routing and fallbacks, so you're never locked to one provider.

What does production AI mean beyond a demo?

Deterministic flow control, typed tool contracts, an eval set with regression tests, and cost, latency, and quality monitoring — production engineering, not a prototype with an API key.

Where does our data go?

Nowhere we don't agree on. Everything lives in your repo and your cloud from the first commit, and retrieval runs over your data. You own the code, the evals, and the infra.

Do you work US hours?

Yes. We keep 4+ hours of overlap with US Eastern every day with shared Slack, a daily standup, and a weekly live demo.

How do we start?

A 30-minute scope call. We define scope, timeline, and next steps — or tell you in the first ten minutes if we're not the right fit.

Something else? Ask on the call. Explore our global services for RAG development, AI agent development, and LLM application development. More for US teams: web development. Regional pages: UK AI development, UK web development, UAE AI development, and UAE web development.

Book a free call

Building AI for the US market? Start with a call.

30-minute free call. Share what you are building and where the project stands. We will discuss scope, timeline, and the right way to work together.