Claude-powered products that work in production

The Anthropic API gives you Claude's capabilities, but production systems need context, tools, evals, and cost controls. Brainforge builds Claude-powered applications on the Anthropic API with the engineering that turns a model into a product.

In plain terms

What Anthropic API means in practice

Claude for enterprise, built on the Anthropic API. Brainforge is an Anthropic technology partner that implements governed Claude workflows: context, tool use, evals, model routing, security posture, and cost discipline so Claude ships as a production system, not a demo.

Where teams get stuck

Claude for enterprise: governed Anthropic API implementation, evals, model routing, security, and cost controls.

Claude demos well but production applications drift and cost more than expected.

Answers lack our context or cite nothing.

No evals, so quality regressions surface as complaints.

Tool access is unmanaged or unsafe.

What we deliver

Core Anthropic API

Claude application builds

Production applications on the Anthropic API with retrieval, tool use, and the right model routing.

Context and tool engineering

Grounding Claude in your data with citations, and giving it scoped tool access through MCP.

Evals and cost controls

Evaluation suites, monitoring, and cost management so Claude apps stay reliable and affordable.

How deep it goes

Capabilities behind the work

The same delivery primitives (context, controls, and review) show up across every engagement.

Anthropic API development

Production builds with model routing, streaming, and API best practices.

Model routingStreamingAPI integration

Context and retrieval

Grounding Claude in your data with citations and memory.

RetrievalCitationsContext engineering

Tool use and MCP

Scoped tool access so Claude acts on your systems safely.

Tool useMCP serversScoped permissions

Evals and monitoring

Evaluation suites and observability so quality is measured.

Eval suitesMonitoringRegression checks

Cost management

Token tracking and routing so the application stays affordable.

Cost trackingModel routingUsage controls

What changes

Outcomes you can point to

Production Claude applications grounded in your context.
Scoped tool use with citations and approvals.
Evals that gate quality and catch regressions.
Cost controls that keep the application affordable.

Proof in production

See where this work shows up.

Brainforge runs an AI assistant on this stack internally

Our internal assistant is built on the same API patterns we deploy for clients.

See the assistant proof →

How we built AI automation that actually works

A first-hand account of scoping, building, and running Claude-based automation in production.

Read the Claude build story →

Related ways to engage

A clear front door into this work

AI Growth Sprint Workshop

A fast, low-risk way to turn AI pressure into a prioritized, fundable plan.

Explore the offer →

Common questions

Anthropic API, straight answers

What does Anthropic API development cost?

Engagements start with a scoped build sprint, so you pay for a bounded piece of work rather than an open-ended retainer. Most teams begin with one Claude-powered application, then expand once it is proven.

Is Brainforge an Anthropic partner?

Yes. We are an Anthropic technology partner: we implement Claude, agent skills, and MCP into governed enterprise workflows. See the partnership page for how we work alongside Anthropic's partner motions.

What does Claude for enterprise involve beyond the API?

Production Claude needs retrieval over your approved context, scoped tool access, evaluation suites, model routing, cost controls, and human-in-the-loop review. That engineering is the difference between a demo and a system your business runs on.

When should we build with a partner instead of DIY?

If Claude demos well but you need production guarantees — evals that gate quality, scoped permissions, cost discipline, and an operating model — a partner that ships these already is usually faster and cheaper than building the harness yourself. We compare the paths honestly before you commit.

How do you keep Claude applications grounded?

Retrieval over your approved context, citations, and memory so answers carry source trails instead of raw model output.

How do you secure Claude applications?

Scoped tool access through MCP with permissions, approval gates, and audit trails; retrieval limited to approved context; and evaluation and monitoring so output stays defensible in regulated environments.

How do you control cost?

Token tracking, model routing, and usage controls are part of the build. You see cost per feature, not a surprise bill.

How long until we have a working application?

A first Claude-powered application with retrieval, tool use, and evals typically ships in 4–8 weeks of sprint work, and a full production workflow in 6–12 weeks from a discovery sprint.

How we work