A clear breakdown of what Brainforge fixes, how fast, and what it actually delivers.
DeepSeek integration
Wire DeepSeek models into your applications and agent stack with the right routing.
DeepSeek models that earn their place in your stack
DeepSeek models are a real cost lever, but only when routed correctly. Brainforge integrates DeepSeek into your AI stack with model routing, evals, and cost controls so you use the right model for each job.
In plain terms
What DeepSeek API means in practice
Where teams get stuck
Integrate DeepSeek models with the routing, evals, and cost controls that make them work in production.
We want to cut model costs but don't know where DeepSeek is safe to use.
Model choice is a fire-and-forget decision with no evals.
Costs are opaque and quality is unmeasured.
Agents and apps aren't wired for multi-model routing.
What we deliver
Core DeepSeek API
Model routing
Route the right queries to DeepSeek and keep complex work on stronger models, with evals to prove quality.
Cost and quality controls
Token tracking and eval gates so lower-cost models save money without hurting output.
How deep it goes
Capabilities behind the work
The same delivery primitives (context, controls, and review) show up across every engagement.
DeepSeek integration
API integration into applications, agents, and gateways.
API integrationGateway wiringDeployment
Model routing
Rules that send the right queries to the right model.
Routing rulesTask classificationFallback logic
Evals and quality gates
Evaluation suites that prove DeepSeek output meets your bar.
Eval suitesQuality gatesRegression checks
Cost controls
Token tracking and budgets so savings are visible.
Cost trackingBudget alertsUsage analytics
What changes
Outcomes you can point to
- DeepSeek integrated into your AI stack.
- Routing rules that use the right model per job.
- Evals that prove quality before and after routing.
- Measurable cost savings without quality regressions.
Related ways to engage
A clear front door into this work
Common questions
DeepSeek API, straight answers
What does DeepSeek integration cost?
Engagements start with a scoped integration sprint, so you pay for a bounded piece of work rather than an open-ended retainer. Most teams begin with one workflow where DeepSeek is safe to use, then expand with evals.
Where is DeepSeek safe to use?
We route based on task complexity and your quality bar. Routine, well-scoped work often handles DeepSeek fine; complex reasoning stays on stronger models. Evals prove the split.
Do you work with DeepSeek through an API or a gateway?
Both. We integrate DeepSeek directly or through a gateway like OpenRouter, with routing rules that fit your stack.
How do you prove quality isn't dropping?
We build eval suites on your real tasks, run them before and after routing, and only ship routing changes that pass the bar.
How much can we save?
Savings depend on your workload mix. We set up cost tracking first so you see the actual numbers per workflow, then route the workloads that are safe.
How we work
A path from pressure to a working system
01
Map where DeepSeek fits
We find the workflows where DeepSeek models can handle the job without quality risk.
02
Integrate with routing and evals
We wire DeepSeek in with routing rules and eval gates that prove quality.
03
Measure and tune
We track cost and quality, then tune routing from real usage.
Our Trusted Partners
We only bring the best of the best
READY TO PUT
DeepSeek API to work?
DeepSeek API to work?
In one working session we'll name what's broken, what's possible, and the first system worth building.
