A clear breakdown of what Brainforge fixes, how fast, and what it actually delivers.
Claude application builds
Production applications on the Anthropic API with retrieval, tool use, and the right model routing.
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
Where teams get stuck
Build production Claude-powered applications with the right context, tool use, evals, 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
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.
Related ways to engage
A clear front door into this work
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.
Do you build on the Anthropic API directly?
Yes. We build on the Anthropic API with model routing, streaming, tool use, and evals — and we adapt to your existing stack and deployment constraints.
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 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.
How we work
A path from pressure to a working system
01
Map the application and context
We define what Claude should do, what context it needs, and what it can access.
02
Build with tools and evals
We build the application with retrieval, tool use, evals, and cost controls wired in.
03
Launch and improve
We monitor quality and cost, then iterate from real usage.
Our Trusted Partners
We only bring the best of the best
READY TO PUT
Anthropic API to work?
Anthropic API to work?
In one working session we'll name what's broken, what's possible, and the first system worth building.
