Simplify AI
Replace scattered experiments with one architecture for models, knowledge, tools, agents, and workflows.
Chakali turns the models you choose, the knowledge you own, and the tools you trust into secure abilities, specialist agents, and governed workflows for every part of the organization.

Start with what the organization needs. Chakali provides the harness that makes the capability reusable, secure, and measurable.
Replace scattered experiments with one architecture for models, knowledge, tools, agents, and workflows.
Put access, guardrails, approvals, evidence, and human accountability into the execution path.
Turn successful use cases into reusable organizational abilities instead of one-off demos.
THE CHAKALI HARNESSSecurity · RAG · Memory · Governance · ObservabilityChakali does not force a single AI model or a single use case. It gives the organization one secure way to combine the right intelligence, knowledge, tools, and controls for each job.
Chakali gives leadership one operating model for turning organizational priorities into reusable, controlled AI capabilities.
CHAKALIAI OPERATINGUse the right approved model and the knowledge your organization already owns.
Apply policy, permissions, guardrails and people at the point where work happens.
Preserve sources, decisions, approvals and runtime records for review.
Chakali brings intelligence, organizational knowledge, controlled action, and evidence into one governed operating model.
See the complete workflowTurn approved models, tools, and skills into specialist agents and reusable workflows.
Agents · abilities · workflowsConnect organizational knowledge and data through permission-aware retrieval with evidence attached.
Knowledge · RAG · provenancePut policies, guardrails, human approvals, and accountability directly into the execution path.
Policy · approvals · controlRun, observe, and improve AI work while preserving the complete record behind every outcome.
Execution · reporting · evidenceA representative workflow built with synthetic data, presented in the same visual system as Chakali’s workflow studio.
Move through topics, records, and entities in a synthetic vendor assessment inside a faithful, interactive preview of Chakali Discovery.
The same governed foundation can support different models, knowledge, tools, agents, and workflows for every function.
Research, reconciliation, risk analysis, reporting, and approval-led operations.
Assemble specialist agents with distinct roles and models to debate, compare, and synthesize decisions.
Turn data, research, and workflow evidence into consistent executive and operational outputs.
Ground agents in authorized documents and datasets with evidence-aware retrieval.
Explore systems, topics, risks, and opportunities before converting findings into action.
Apply policy assignments, approvals, reviews, scores, exports, and accountability to AI work.
Enforce least privilege, scoped data, controlled tools, safe execution, and human checkpoints.
A governed SOC workflow shows what the AI OS can do: connect tools and intelligence, give agents specialist skills, coordinate reasoning, and deliver an accountable outcome.
Pull approved operational context with validated, read-only queries.
Check indicators across trusted intelligence sources in parallel.
Add actor, vulnerability, trend, and fresh reporting context.
Ask specialist agents to assess evidence within defined policy.
Produce a sourced verdict, confidence, and recommended next step.
Notify the right channel and preserve the complete execution record.

Chakali treats security, governance, and evidence as runtime capabilities—not policy documents that sit outside the work.
Route work to the model that fits the task, cost, risk, and data boundary. Choose at workspace, agent, or skill level through one unified layer.
Run Chakali in the environment that matches your operating and regulatory needs—then evolve the deployment model as the strategy grows.
Turn approved connectors, abilities, skills, agents, workflows, knowledge, and guardrails into a shared organizational capability.
Begin with a high-value use case, validate the data, models, controls, and business result, then reuse the harness across the organization.