
Configure, build, deploy, monitor, and improve every agent from one control plane.
No spam. We'll use this to prepare your Sinapsis AI demo.
Everything you need to run AI agents in production.
Connect your stack. Set the boundaries.
Bring data, tools, models, providers, and keys into one governed workspace. Decide what every agent can access before it runs.
- Data sources
- Tools
- Models
- External connections
- Policy gates




Design the workflow. Control every decision.
Turn connected tools and knowledge into governed agent workflows. Add reasoning, approvals, and structured outputs without losing control.
- Triggers
- Knowledge
- AI agents
- Human review
- Outputs
Publish the workflow. Keep every release controlled.
Expose approved workflow versions through authenticated API routes for web apps, iOS, Android, and AI harnesses. Set access, rate limits, and signed URLs from one operational surface.
- API routes
- Versioning
- Authentication
- Rate limits


Inspect every run. Understand every outcome.
Follow each agent from trigger to response. See latency, token usage, cost, retries, and errors with the context needed to act.
- Traces
- Spans
- Latency
- Tokens
- Cost
Measure every outcome. Improve what matters.
Score quality, risk, corrections, failures, and routing decisions against repeatable criteria before changes reach production.
- Eval scores
- Quality
- Risk
- Corrections
- Failure modes

Control every agent. Keep every decision accountable.
Define who can approve, what each agent may access, which actions it may take, and what evidence must be retained without rebuilding controls for every workflow.
Human oversight
Route uncertain, sensitive, or high-impact decisions to accountable reviewers before downstream action.
Privacy & data control
Set boundaries for retention, residency, PII handling, and the data each agent may access.
Safety policies
Enforce allowed actions, approval thresholds, and failure behavior before execution.
Security & access
Apply roles, permissions, secret isolation, and approved provider access across every workflow.
Audit evidence
Retain inputs, steps, outputs, reviewer outcomes, model paths, and run cost for legal, risk, and operations.
Deploy on your terms.
Keep data, credentials, and execution inside environments approved by your organization.
On-premise
Run Sinapsis inside infrastructure controlled by your organization.
Data residency
Keep operational data in approved regions and environments.
External software
Connect credentials for your external tools while retaining access visibility and control.
Renewable-powered regions
Choose regions and providers with documented renewable-energy commitments.
Build AI workflows around the way your industry works.
From finance and healthcare to insurance and the public sector, turn operational work into governed workflows with human review, traceable evidence, and a clear path to production.
- 01
Finance
Review financial documents, reconcile statements, and prepare control evidence with human approval where it matters.
- 02
ITSM
Triage incidents, resolve service requests, and keep every action tied to the right operational context.
- 03
Risk and compliance
Screen policy-sensitive work, surface exceptions, and keep every decision ready for review.
- 04
Business operations
Turn document intake, CRM updates, and repeatable back-office work into governed workflows.
- 05
Legal teams
Compare clauses, review data rooms, and route contract decisions with traceable evidence.
- 06
Customer service
Resolve policy-grounded requests and route sensitive cases to the right reviewer.
- 07
Healthcare & life sciences
Coordinate sensitive intake, case review, and evidence-heavy operations with accountable approvals.
- 08
Insurance
Accelerate claims, underwriting, and fraud review while keeping decisions traceable.
- 09
Public sector
Route citizen services and casework through governed workflows with evidence at every decision point.
Bring one AI workflow into production with control attached.
Start with one high-value workflow and map its data, approvals, evidence, evaluation, training, and deployment path.
