Multi-engine runtime
Route llama.cpp, MLX, vLLM, ONNX, and compatible hosted endpoints through one model interface.
Local-first AI workstation · controlled agentic IDE
Local models.
Production systems.
Run models on your hardware, ground them in enterprise knowledge, and let approval-gated agents work across code, tools, and workflows—without splitting the stack across five products.
- 5
- inference engines
- 60+
- editor languages
- 9
- workspace modules
Model workstation
One control plane for every model path.
Keep local, hosted, and enterprise inference behind the same interface while preserving deployment and evidence boundaries.
OpenAI-compatible edge
Use existing SDKs against a consistent /v1 surface with workspace policy and scoped credentials.
Grounded knowledge
Ingest documents into isolated knowledge bases and combine vector and full-text retrieval.
Enterprise control
Keep model access, approvals, audit events, and workspace boundaries explicit from prompt to deployment.
Agentic coding IDE
Observe every step before it changes the workspace.
The editor, terminal, git surface, and agent timeline share one project context instead of passing state between disconnected tools.
Editor
Monaco workspace with multi-tab editing and language-aware tooling.
Terminal
Project-scoped PTY sessions with resize and link detection.
Git + diff
Stage, branch, compare, commit, and prepare pull requests in one workspace.
Agent loop
Read, edit, and execute through an approval-gated ReAct timeline.
Execution boundary
Connect. Ground. Approve. Ship.
Each transition is visible and inspectable, from model selection through tool execution and deployment.
- 01Connect models
Register local engines or compatible hosted endpoints behind scoped credentials.
- 02Ground context
Attach workspace knowledge and retrieve only what the active task requires.
- 03Approve tools
Review file, terminal, and external actions at the moment authority is requested.
- 04Ship evidence
Preserve diffs, run traces, model routes, and audit events as one delivery record.
Connected Kynetra system
AI Studio is the workbench, not an island.
Move from typed capability evidence to model construction, optimized execution, agent deployment, and governance through explicit product routes.
01KynetraDB
Typed capability and evidence catalog
↗02FoundryModel primitives, evaluation, security, and governance vocabulary
↗03KynMLCompiler and optimized model execution path
↗04AI StudioModel workspace, knowledge, code, agents, and workflows
↗05PrimeSpecialist regents and deployable agent marketplace
↗06KTLPolicy, evidence, and governance boundary
↗Private preview
Bring the model. Keep the authority.
Request access to the unified model, knowledge, coding, and agent workspace.