For enterprises running AI agents across many domains

Independent Outcome Assurance

The neutral referee for AI agents acting on critical infrastructure.

Svaya maps where your autonomy stands, turns your outcomes into rules every agent is held to, and referees each action before it reaches production.

Start a shadow pilot See how it works
The Svaya loop Running continuously
Svaya neutral plane 1 Discover autonomy map and gaps 2 Declare outcomes plain-language goals 3 Specify requirements for your RFP 4 Validate digital twin testing 5 Govern referee every action 6 Prove sealed record Every outcome, gap and decision feeds the next cycle.

Your agents are already negotiating your trade-offs.

Cost, capacity and customer experience pull against each other every hour. Today, each of those trade-offs is being made by a different domain's agent, optimising its own objective, with no one in the middle.

Every domain now runs agents that promise to govern themselves. None of them can referee the others. That seat has to belong to a layer that runs no agents of its own.

Energy agent Sleep carrier to save power Capacity agent Add carrier for demand Svaya plane one referee, one reason Cell 0421-2 and its neighbours Blocked: neighbours cannot absorb traffic Approved: executed with rollback locked
1 Discover

Know where your autonomy really stands.

Svaya maps the intelligence and automation already running in each domain, places it against recognised autonomy levels, such as the TM Forum Autonomous Networks framework in telecom, and shows where the gaps are.

Every gap is written as a concrete improvement, such as better energy saving on a named cluster of sites, so you know what to fix and why it matters.

Autonomy map, example telecom operator Discovering
DomainL0L1L2L3L4L5Level
RAN
L3
Gap: Energy saving sleeps carriers without checking neighbour load
Core
L2
Transport
L2
Gap: Congestion is handled by hand, with no closed loop
OSS/BSS
L1
Service assurance
L2
Gap: Voice-quality alarms are not linked to the actions that caused them
3 gaps found Requirements report ready for your RFP
Levels mapped to the TM Forum Autonomous Networks framework. Illustrative example.
2 Declare outcomes

Ask Svaya. Say what matters, in your own words.

State an outcome in plain language. Svaya breaks it into precise intents, asks you to confirm each one, and turns them into the rules every agent is held to. Then it keeps checking, on every action, around the clock.

S
Ask SvayaOutcome assistant, online
Hi. What outcome should your agents be held to?
Ensure voice quality doesn't fall below MOS 4.1
That maps to four intents, shown on the right. Confirm them to put them into force.
Edit an intent Confirm all four
In force. Every agent action is now checked against them, continuously.
Ask Svaya
OutcomeIntents you confirmRules for agents
Voice MOSat or above 4.1 Keep VoLTE MOS at 4.1 or above per cluster Protect voice bearer priority in congestion Block carrier sleep where voice would degrade Flag transport loss towards the voice core Energy agentNo carrier sleep if forecastMOS drops below 4.1 Capacity agentVoice first when addingor moving capacity Transport agentReroute when loss towardsthe voice core rises
3 Specify, 4 Validate

From a gap to a proven solution, with you in charge of buying.

Svaya hands you a vendor-neutral requirements report for each gap. You run the RFP. Whatever you choose is tested against your outcomes before its agents go live.

Gap reportfrom Discover Your RFPyou run procurement Vendor solutionany vendor Digital twin testagainst your outcomes Agents onboardedunder Svaya rules

Specify

Each report describes the capability needed and the outcome it must meet. It never names a product or a vendor, so your RFP stays open and Svaya stays neutral.

Validate

The chosen solution runs in a digital twin of your environment against the outcomes you set. The same test applies to every vendor. Only then are its agents onboarded, under the same rules as everyone else.

5 Govern, 6 Prove

One referee for every action, then proof of what happened.

At runtime, every action any agent proposes is checked, simulated and arbitrated against competing actions before it reaches your systems. The result is sealed in a record you can re-derive. Step through an example.

SvayaGovernance Plane/Decision view
Example scenario, cell 0421-2

Two agents propose opposite actions

Same cell, same 15-minute window. Each action is reasonable on its own. Neither agent can settle the conflict, because each is a party to it.

Capacity agent, RAN domainAdd carrier L2100cell 0421-2, 19:45 to 20:00
Energy agent, energy domainPut carrier L2100 to sleepcell 0421-2, 19:45 to 20:00
Conflict detected: both proposals target the same resource in the same window.

Check each agent's authority

Before anything is weighed, each proposal is checked against the envelope you granted that agent: what it may touch, where, how often.

Site class for cell 0421-2Normal
Capacity agent may add carriersWithin authority
Energy agent may sleep carriers on normal sitesWithin authority
Change rate limit for both agentsNot reached

Both are allowed. Authority alone cannot pick between them.

Simulate before anything changes

Each action is run against a model of the cell and its neighbours, using the latest load trend. The live network is not touched.

Neighbour load limit Now30 min ago Carrier addedCarrier asleep

With the carrier asleep, the neighbours are predicted to cross their load limit. Illustrative values.

Arbitrate: one decision, one clear reason

Capacity agentAdd carrier L2100
Approved
Energy agentPut carrier L2100 to sleep
Blocked
Reason sent to the energy agent: neighbour load is rising and the neighbours cannot absorb this cell's traffic in the window. Resubmit after 20:00.

Execute, with the undo already locked

Only the approved action goes southbound. Its reversal is computed and stored before the change is made.

Rollback preparedRemove carrier L2100, restore previous values
Sent southboundAdd carrier L2100 on cell 0421-2
Watch windowKPIs checked for 30 minutes

Your team can halt or revert at any point.

Attest: a record anyone can re-derive

Both proposals, the rules applied, the data used, the decisions and the outcome are sealed together in the Proof Ledger.

proposal capacity-agent add L2100 approved proposal energy-agent sleep L2100 blocked reason neighbour load rising, limit at risk outcome KPIs held through watch window record sealed, ready for audit or dispute

The same record answers the domain owner, the auditor and the regulator.

Step 1 of 6

One plane, from your outcomes to proof in production.

Svaya sits after your AI gateway and before the southbound interfaces. Agents keep their own logic, whatever domain or supplier they come from. You set the outcomes; Svaya holds every agent to them.

Explore the products
Agents, any domain Network agent Energy agent Customer care agent Your own agents AI gateway: identity, access, routing (yours or a partner's) Svaya governance plane neutral and independent of the infrastructure it governs Discoverautonomy map by domaingaps and requirements Outcomes to rulesintents you confirmrules for every agent Digital twinvalidate new solutionsbefore onboarding Validate Simulate Arbitrate Execute Attest Runtime referee: every action checked against the rules above Systems it acts on Networks Cloud and edge IT and OSS/BSS Grid systems Your teamsets outcomesconfirms intentsruns the RFP outcomes gap reports Vendorsrespond to your RFP solutions to validate Proof Ledgerevery decision,sealed and re-derivable

A clear decision for every action, with the reason attached.

Before any agent action reaches your systems, Svaya decides whether it may proceed and within what limits. Agents get an answer they can act on, never a silent failure.

Grounded in your rules

Every action is checked against the authority you granted each agent, your hard limits and your change windows.

Tested before it acts

The likely effect on the systems it touches, and everything connected to them, is worked out before anything changes in production.

Explained to everyone

The agent, the engineer and the auditor get the same plain reason, and the decision can be re-derived from the record.

One referee. Packaged for how you buy.

The same governance core, delivered as a platform you run across your whole estate, a ready-to-run bundle from a partner you already work with, or a domain pack inside the gateway you already run.

Governance Plane

The referee itself. Rules on every agent action before it reaches production: authority, simulation, arbitration, attestation.

For estates spanning many domains

Assure

Governance plus outcome assurance, packaged on ODA Canvas and ready to run from day one.

Delivered with the partners you already use

Domain Pack for AI gateways

Domain judgement for the gateway you already run, starting with telecom: site context, intent, conflict rules and decisions.

For gateway and platform partners

Proof Ledger

A sealed, re-derivable record of every proposal, decision and outcome, ready for disputes, audits and regulators.

Included with every product

Rule Library

Governance added as data, not releases: rate limits, freeze windows, KPI floors, shadow mode, safe defaults on timeout, one-step revert.

Grows without new software

Grid

The same referee for DER, virtual power plant and grid-edge automation.

In development

Deployed through any partner. Answers only to you.

Partners resell, integrate and run Svaya. Decisions always carry Svaya's name, so the independence you are buying stays intact.

Running agents across many domains

One referee across every domain and business unit.

  • Govern agents from any domain or supplier
  • Consistent rules across business units
  • Evidence for regulators and board
Talk to us about your estate
Starting with governed automation

Governed automation without building a governance team.

  • Assure bundle, ready to deploy
  • Rules from the library, not projects
  • Delivered with a partner you know
See the Assure bundle
Channel and SI partners

Add an independent referee to the stacks you deliver.

  • Resell and deploy alongside your BSS and OSS
  • Joint go-to-market with your customers
  • Technical enablement and certification
Become a channel partner
Gateway and platform partners

Give your AI gateway domain judgement.

  • Domain Pack plugs in after the gateway
  • Your gateway keeps identity and routing
  • Svaya adds action-level decisions
Integrate the Domain Pack

Starting in telecom. Built for every enterprise that runs on agents.

Telecom expertise is built into Svaya from the ground up, so that is where we start. The same plane governs agents in private networks, utilities and any enterprise where many domains act on shared systems.

Telecom

Mobile, fixed and converged networks. RAN energy saving, capacity, SON, slicing and cross-domain incidents where network, care and billing agents all act at once.

Telecom use cases

Power grid in development

Distributed energy, virtual power plants and grid-edge automation, where many operators' agents act on one shared physical system.

Join the grid early-access list

In the TM Forum Catalyst programme, Innovate Asia 2026.

We are a solution partner in a Catalyst demonstrating governed multi-agent operations. Bangkok, 17 to 19 November.

Meet us in Bangkok

About Svaya

Svaya Networks builds the neutral governance plane that lets AI agents act on critical infrastructure safely: mapping autonomy, turning outcomes into enforceable rules, and referring every action before it reaches production. We are a telecom-rooted team building for every enterprise that runs on agents, based in Bengaluru, India.

Autonomy without a referee is just risk.

These are built into the plane, not written into a policy document.

Authority envelopes

Each agent acts only within what you granted it: which resources, which sites, how often.

Rollback before every action

The undo is computed and locked before any forward change is made.

Hard limits, no exceptions

Service floors, KPI minimums and regulatory limits are never traded off by any agent.

A reason for every decision

Agents and engineers get a plain reason, and every decision can be re-derived from the record.

Tiered consent

Small reversible changes run on their own. Critical sites and customer-visible changes wait for a person.

Instant override

Halt, override or revert any action at any point. Control stays with you by design.

Start with a shadow pilot. Nothing in production changes.

We record what your agents propose and what Svaya would have ruled, with the reason. You see the conflicts, near misses and evidence from your own data before granting any control.

Request received.

We'll reply within one business day to set up a first conversation.