We build apps, agents and automations on Claude
Document agents, assistants over your own data, extraction pipelines and full products on Claude and the Anthropic API, with the engineering that makes them predictable: tool use, structured outputs, evaluation sets and your own tenancy.
A Claude development agency builds software where Claude does the reading, drafting and deciding: agents that work through inboxes and data rooms, assistants that answer from a company's own records, pipelines that turn documents into structured data, and products with AI at the core. TechBrig builds these end to end, design and engineering in one team.
What makes it reliable is not the model alone. We use tool use, structured outputs with validation, prompt caching, evaluation sets drawn from real cases with a pass bar agreed before release, and a human approving anything the model is unsure about. Claude runs under agreements where your data is not used for training, and can be called from inside AWS or Google Cloud.
Five kinds of system, one engineering standard
Agents over inboxes and documents
Claude reads what arrives, whether email, PDFs, data rooms or call transcripts, decides what it is, extracts what matters, and takes the next step with a confidence score. Tool use connects it to your systems.
Assistants over your own data
An assistant that answers from the company's live records and documents, cites where the answer came from, and hands off into the right screen. Built on a reconciled data layer, not a pile of PDFs.
Document extraction pipelines
Financial statements, invoices, contracts, forms and clinical records turned into structured data with structured outputs and validation, and the gaps flagged for a person.
Drafting systems
First drafts in your house style from your own precedents, templates and the facts on record: memos, letters, packs, briefs and reports, for a person to edit rather than write.
Products with AI at the core
Full applications where Claude is the engine: ingestion, reasoning, generation and the product around it, instrumented and evaluated from day one.
Prototype rescue
A Claude or ChatGPT prototype that works in a demo and breaks on real users: we audit it, keep what works, add evaluation and guardrails, and rebuild the data access and ownership underneath.
What makes a Claude system predictable
Tool use and agent loops
Claude calls your systems through well-described tools, with the loop, retries, approvals and logging handled in code you own.
Structured outputs
Every extraction and classification returns a validated schema, so downstream systems never parse prose.
Evaluation sets
Real cases from your own data, a pass bar agreed before release, and a run on every change. Behaviour is measured, not hoped for.
Your tenancy, your keys
The Anthropic API, Amazon Bedrock or Google Vertex AI, called from inside your environment with your access control and audit trail. Nothing is used for training.
From first call to a system that stays in use
Spec
What the system does, what data it can see, and what it must never do, written in a page.
Evaluation first
A test set from real cases and a pass bar, before the first user sees it.
Build and ship behind a flag
Tool use, structured outputs and the product around them, released to a small group first.
Widen and hand over
Usage and failure tracking, then the wider release, with your engineers able to maintain it.
Built, shipped, measured
Questions people ask before they call
Why build on Claude?
Claude is strong at reading long documents, following detailed instructions, using tools reliably and producing structured output, which is most of what business automation needs. It runs under enterprise agreements where your data is not used for training, and it is available inside AWS and Google Cloud tenancies.
What do you build with Claude and the Anthropic API?
Agents that read inboxes, documents and data rooms and act on them; assistants over a company's own data; document extraction pipelines; drafting systems in a house style; and full products with AI at the core. We use tool use, structured outputs, prompt caching and evaluation sets so the behaviour is predictable.
Can Claude run inside our own cloud?
Yes. Claude is available through Amazon Bedrock and Google Vertex AI as well as the Anthropic API, so the model can be called from inside your existing tenancy with your own keys, logging and access control.
How do you keep Claude from making things up?
Grounding in your own data, structured outputs with validation, evaluation sets drawn from real cases with a pass bar agreed before release, confidence scores, and a human approving anything the model is unsure about.
Do you also work with OpenAI or open-source models?
Yes. We choose per workflow on quality, cost and data handling. Claude is our default for document-heavy and agentic work; we will say so when something else fits better.
Can you take over an existing Claude or ChatGPT prototype?
Yes. We audit it, keep what works, add evaluation and guardrails, and rebuild the parts that will not survive real users. Most prototypes fail on data access and ownership, not on the model.
How do we start a Claude project?
A thirty-minute call, or the project brief assistant on this site, which builds a brief from a few quick answers and is itself built on Claude.
Have something you want built on Claude?
Thirty minutes with Ishaan, or start with the project brief assistant on this site, which is itself built on Claude.
Book a free callor write to us at [email protected]