A clear breakdown of what Brainforge fixes, how fast, and what it actually delivers.
CopilotKit integration
Embed AI copilots into your product with CopilotKit, wired to your data and workflows.
Copilots embedded in your product, not bolted on
CopilotKit is how teams put AI copilots inside their product. Brainforge builds production CopilotKit integrations with the context, actions, and review controls that make an in-product copilot genuinely useful.
In plain terms
What CopilotKit means in practice
Where teams get stuck
Build production AI copilots with CopilotKit, embedded in your product with context, actions, and review.
We want an in-product copilot but don't know how to build it well.
Copilot demos work but production integration stalls.
The copilot can't reach our product context or act on workflows.
No review or observability on what the copilot does.
What we deliver
Core CopilotKit
Context and actions
Ground copilots in your product context and let them act on approved workflows with review.
Controls and observability
Review gates, tracing, and evals so the in-product copilot is safe and improvable.
How deep it goes
Capabilities behind the work
The same delivery primitives (context, controls, and review) show up across every engagement.
CopilotKit development
In-product copilots built on CopilotKit with your UI and data.
Copilot UIProduct wiringData integration
Context and retrieval
Grounding copilot answers in your product data and docs.
RetrievalCitationsContext engineering
Actions and review
Letting copilots act on workflows with approval controls.
Action wiringApproval gatesScoped permissions
Observability and evals
Traces and eval suites so the copilot improves safely.
TracingEval suitesQuality review
What changes
Outcomes you can point to
- A CopilotKit copilot embedded in your product.
- Grounded answers from your product context.
- Approved actions on workflows with review.
- Observability and evals that keep it improving.
Proof in production
See where this work shows up.
Related ways to engage
A clear front door into this work
Common questions
CopilotKit, straight answers
What does CopilotKit 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 in-product copilot workflow.
What is CopilotKit?
An open-source framework for embedding AI copilots and agents directly into your product UI, with tools for context, actions, and streaming.
Can the copilot take actions in our product?
Yes, with review controls. We wire approved actions with approval gates and traces so users stay in control.
Do you work with our existing frontend?
Yes. CopilotKit integrates with your React or Next.js frontend, and we wire it to your data and workflows.
How long does a CopilotKit build take?
A first in-product copilot with context and actions typically ships in 3–6 weeks of sprint work.
How we work
A path from pressure to a working system
01
Map the in-product copilot
We find the workflows where an in-product copilot creates real value for your users.
02
Build with CopilotKit
We embed the copilot with context, actions, and review controls wired to your product.
03
Launch and improve
We set evals, monitor usage, and iterate from real user behavior.
Our Trusted Partners
We only bring the best of the best
READY TO PUT
CopilotKit to work?
CopilotKit to work?
In one working session we'll name what's broken, what's possible, and the first system worth building.
