The Trust Layer for
Enterprise AI Agents.
Make agent behavior deterministic, enforceable, and provably aligned with your SOPs
Evals and Guardrails Aren't Enough
Compliance is binary. Filtering bad words is not the same as enforcing good decisions.
Content Guardrailsrust Infrastructure
Toxicity filters, prompt shields, keyword blocking. Catches bad words, not bad reasoning.
Trust Infrastructure
Deterministic SOP enforcement at both input and output boundaries. Governs decisions, not just words.
Eval Platforms
Quality scoring and benchmark suites. Measures how well the model performed — after the fact.
Manual Audits
Human review and spot-checks. Deep but doesn't scale and can't enforce in real-time.
Most AI tooling operates at the content level or after the fact. CogniSwitch enforces at the reasoning layer, in real-time.
The Layer Missing from AI Stacks
Evals & Observability
Score outputs and monitor agents - after the fact
Agents & AI Applications [Models, SDK]
Build the agent, choose the model
Trust Infrastructure
Enforce SOP adherence at runtime. Deterministic, auditable, provable.
Enterprise Data
Ground truth and context
“Is the agent performing well?”
“Can we prove it's compliant?”
Both questions must be answered for production deployment in regulated environments. We complement eval plaforms, completing the stack.
The Trust Pipeline
CogniSwitch extends a deterministic envelope, helping you control every stage of the agent lifecycle.
Clarity
Knowledge Curation
Resolve data quality issues before your agent ever reads them.
Align
Policy Gap Analysis
Surface gaps between external policies and your internal SOPs automatically.
Rails
Deterministic Enforcement
Block hallucinations and enforce SOPs in real-time.
Audit
Independent Proof
Generate the immutable evidence your compliance team demands.
Nothing Gets Replaced. Your LLM Stays.
Your AI pipeline stays intact. CogniSwitch adds the governance layer around it - making every decision auditable and every output provable
Governance at two boundaries. Your pipeline in between, untouched.
CogniSwitch Trust Layer
Neuro-Symbolic Governance Engine
One governance layer. Extends trusted context to every application.
We don't build models.
We build the verification layer around them.
Whether you are automating prior authorization, patient intake, or claims processing, the deterministic rails keep your agent within clinical and legal boundaries.
Cited in Gartner's "Emerging Technologies for Healthcare Payers" report as a neuro-symbolic AI startup to watch.
Prior Authorization AI
Authorization decisions verified against payer policies before submission
Care Management AI
Clinical recommendations checked against care protocols in real-time
Clinical Quality AI
Documentation completeness audited against facility standards
The Infrastructure of Trust.
You're building autonomous agents. You need to know where we sit in your stack. Our APIs and neuro-symbolic wrappers make your agent's behavior deterministic.
- ↓Integrates via standard API wrappers.
- ↓Neuro-symbolic compilation for sub-50ms latency.
- ↓Agnostic to your underlying LLM choice.
The Proof of Compliance
You're accountable for what the agent does in production. You think in risk and deployment confidence. Immutable audit trails prove SOP adherence for every interaction.
- ↓Mathematical certainty.
- ↓Immutable audit logs for every agent decision.
- ↓Unblocks Legal and InfoSec reviews in weeks, not months.
Agents Work. Do you trust them?
Agents are smart enough. The blocker for enterprises has never been intelligence or speed. It has been trust. Legal won't sign off on "it usually gets it right"
So we built the infrastructure that turns "we think it's compliant" into "we can show you the audit trail." Deterministic verification, checked against your SOPs, at every decision boundary.
That layer didn't exist. We built it. And it's the reason our customers are in production.