Knowledge & Context Workbench
Inspect documents, run health checks on knowledge sources, and validate retrieval quality before agents go live.
- Source health checks
- Retrieval quality reports
- Context preview & sharing
Open Accelerators
Lego-block modules for knowledge prep, agent builds, evaluation, deployment, and governance — usable standalone or as part of the DynasAI platform.
Cover the full agent lifecycle: context, build, evaluate, deploy, and operate at scale.
Inspect documents, run health checks on knowledge sources, and validate retrieval quality before agents go live.
Start from proven blueprints for support, ops, finance, and research — customize in Workflow Studio.
Score agent outputs, compare prompt and model variants, and produce audit-ready evaluation reports.
Ship agents through composable pipelines with drift alerts, policy guardrails, and retraining triggers.
Unlike legacy ML accelerators locked behind consulting engagements, DynasAI publishes toolkit docs and SDK entry points for builders — with the full workbench in the customer workspace.
Available now
Module overview, APIs, and getting-started guides on this site.
Available now
Visual builder, evals, and operated deployments on app.dynasai.ai.
Preview
Programmatic access to templates, eval helpers, and deployment utilities.
Contact sales
Implementation, customization, and operated AgentOps with our studio team.
Use the DynasAI workspace yourself, or pair it with a delivery team that ships on the same stack.
Built for orchestration, tool use, memory, and governance — not retrofitted from batch ML pipelines.
Adopt the full toolkit or individual modules that complement your existing cloud and data platform.
Move from pilot to production with evals, monitoring, and iteration — not slide-deck handoffs.
Open a demo environment on app.dynasai.ai or talk to our team about a guided rollout.