SYLVA Labs — enterprise AI governance. See, assess and prove governance across every AI system you run. — Request a demo
The Platform

The AI Pulse platform

One control plane for AI governance — the evidence layer beneath any framework, not another framework. Discover every AI system you run, assess its risk, govern it with clear ownership and approvals, and prove it with audit-ready evidence. Read-only, deployed in your own tenant.

4
Governance moves
6
CxO role dashboards
8
Governance frameworks mapped
Read-only
In your own tenant
How AI Pulse Works

Discover. Assess. Govern. Prove.

Four moves take you from “we’re not sure what AI we run” to “here is the evidence.” Each builds on the last, and each metric carries its own provenance so you always know what you’re looking at.

01
Discover
A unified registry of every AI system across your estate — agents, copilots, and models — with shadow-AI discovery to surface the systems no one registered. You cannot govern what you cannot see.
02
Assess
Assign a risk tier to each system and map it to the frameworks that apply — Microsoft Responsible AI, IMDA Model AI Governance Framework, MAS TRM, PDPA, EU AI Act, ISO 42001, NIST AI RMF. Control mapped once, satisfied many times.
03
Govern
Clear ownership for every system, maker-checker approvals for material change, and a tamper-evident governance ledger that records who decided what, and when. Governance that holds up under scrutiny.
04
Prove
Audit-ready evidence, assembled continuously and exported on demand for boards, auditors, and regulators — no weeks of manual screenshotting and reconciliation when the request lands.
Platform Capabilities

The building blocks
of the control plane.

Eight capabilities work together as one platform — from discovery through to audit-ready proof. Every one is read-only and runs inside your own tenant.

01
AI Asset Registry
A single searchable inventory of every AI agent and model in your estate, each with a business owner, technical owner, and business unit. The source of truth the rest of the platform builds on.
Unified InventoryOwnershipBusiness Unit
02
Shadow-AI Discovery
Surface AI systems running without an owner, a business unit, or an attestation — the copilots and endpoints that spread across teams unregistered. Shadow systems are excluded from the governed estate count until they are claimed.
Unregistered AIEstate Coverage
03
Risk Tiering
Classify each system into a risk tier so oversight is proportionate — the highest-risk agents get the tightest controls, lower-risk systems stay light-touch. Tiers drive which approvals and frameworks apply.
Risk TiersProportionate Control
04
Governance Ledger
A tamper-evident record of governance decisions — approvals, attestations, risk assessments, and material changes — capturing who decided what, and when. Maker-checker approvals keep material change accountable.
Tamper-EvidentMaker-CheckerDecision Trail
05
Evidence Vault
Governance evidence assembled continuously and exported on demand — audit-ready packs for boards, auditors, and regulators. When the request lands, the evidence is already there.
Audit-ReadyEvidence Export
06
Framework Mapping
Map your controls once and satisfy many frameworks — Microsoft Responsible AI, IMDA Model AI Governance Framework (including its Jan-2026 Agentic-AI edition), MAS TRM, PDPA, EU AI Act, ISO 42001, and NIST AI RMF.
Map OnceMany FrameworksAgentic-AI
07
Six CxO Dashboards
One source of truth, surfaced through the lens each leader needs — CIO, CISO, CTO, COO, CFO, and CCO. The same underlying data, framed as the decisions that matter to each role. No dashboards to build.
Role ViewsBoard-Ready
08
Honesty Engine
Every metric is labelled by provenance — Live, Derived, Assumption, or Not Assessed. Where a source is not connected, the value shows “—”, never a fabricated green. Governance you can defend rests on numbers you can trust.
LiveDerivedAssumptionNot Assessed
Every number carries its source. AI Pulse never invents a figure to fill a gap — an unconnected source shows an honest “not assessed” state, not a false green.
Cloud Coverage

Available now on Azure.
AWS coming Q4 2026.

AI Pulse deploys inside your own cloud tenant with read-only access. Microsoft Azure is available today; multi-cloud coverage for AWS is on the roadmap for Q4 2026.

Microsoft Azure & Microsoft 365
Native integration via read-only Managed Identity — no credentials stored, deployed in your own tenant
Available now
Amazon Web Services
Read-only IAM-role telemetry — the same governance control plane extended to your AWS estate
Coming Q4 2026
Deployed in your tenant, read-only
Runs as an Azure Container App inside your own subscription — your data stays within your cloud boundary.
Authenticates via Managed Identity with read-only scopes. Zero write access; nothing for AI Pulse to misconfigure.
Explore the Azure integration in depth →
Get Started

See the platform against
your own AI estate.

Book a guided demo. We’ll walk through discover, assess, govern, and prove — and show you what AI Pulse surfaces on day one. The demo is private and guided.

Request a demo Contact us
Read-only access • Deployed in your tenant • No vendor lock-in