Company
Accountability for the AI enterprises already run.
IntSen is built by Equations Work for organizations whose AI now spans many teams, frameworks and vendors—and who need to govern it without rebuilding it.
Why we build IntSen
Governance should follow the model call.
Enterprises are moving AI from experiments into production across departments. Each team builds its own path to the model, so access, safety, quality and cost end up fragmented—and accountability with them.
We believe the most reliable place to govern AI is the one point every model call must pass through. That lets enterprises keep their agents and infrastructure while adding consistent, evidence-based governance.
Principles
How we design the product
Customer runs, IntSen governs
We never host, deploy or edit your agents. We govern their model traffic.
One door
Every governed model call passes the gateway; apps and agents never hold provider secrets.
Declare, don't ticket
Use cases, agents, evaluations and policies are declarative resources in Git or the API.
Measure before enforce
Record modes for guardrails, and evaluation gates before changes ship.
Say what we can't see
We state the limits of gateway-based governance plainly.
Where we are
IntSen is in its first release and working with enterprises through pilots. We focus first on the United States and the United Kingdom, in enterprise SaaS, customer operations and manufacturing.
Ready to make your enterprise AI accountable?
See how IntSen can help your teams govern access, safety, quality and spending across the AI applications and agents you already run.