Your peers are investing heavily. Almost none of them are shipping.
LLMs are trained on the world's knowledge — not yours. Without live access to your policies, exceptions, and domain-specific procedures, agents improvise. That improvisation shows up as hallucination, wrong decisions, and compliance exposure.
Your legal, compliance, and IT/Risk teams are raising valid objections: no audit trails, no guardrails, no exception handling. Without those primitives built into the infrastructure layer, deployment stalls — regardless of how good the agent is.
A single use case works. But scale it across the enterprise, and the cracks appear fast. Every new agent needs knowledge imparted from scratch. That takes time — and in most enterprises, it's the same knowledge, rebuilt over and over again. Duplicated effort. Duplicated spend. And nothing to show for it at scale.
The Missing Link
You've solved for the model layer. You have agent frameworks, LLM contracts, and build budgets. But there's a structural gap between building an agent in a sandbox and running that agent predictably, reliably, and at scale against your live business.
Synapt sits between your AI agents and your data infrastructure — building and maintaining a live, traversable knowledge graph that agents can query at inference time.
reduction in LLM token cost
Automated Enterprise IT Compliance & Software Provisioning
Reduction in manual hours
Context driven network alarm remediation
of SLA breach payouts eliminated
Automated SLA Breach Assessment & Fine Validation
Join enterprises already running production agentic AI with Synapt. Trial access available now.