Agents that run your web3. End to end.
We train a fleet of specialized agents on the data you choose, then let them run whole operations — settlement, treasury, compliance, market ops — on their own. They reason, hand off, and learn, with a human in the loop at every gate that matters. You sign where it counts; the agents do the rest.
Not one model. A crew that runs the operation.
Each agent is trained on the data you choose and owns a slice of the work. They hand off to each other and run a web3 process from intake to settlement — pausing only where your policy needs a human. Pick an operation and watch them go.
Agents act on their own between gates. They pause only where your policy needs a human.
Illustrative — runs in your browser, moves nothing real.
From watching to running it all — you choose where each operation sits, and move it as trust builds.
The agent observes your flows and reports. Every action is still yours.
It drafts the move with its reasoning. You decide, it waits.
It executes inside the limits you set, and tells you what it did.
End to end on its own — gated only by on-chain policy and the humans you place.
Point it at any of these. Same shape every time — agents propose, the policy you own decides.
- Batch payouts
- Recurring billing
- Card authorization
- Refund logic
- Sweeps & reserves
- Yield rotation
- FX corridors
- Liquidity laddering
- AML monitoring
- Sanctions screening
- Zero-knowledge KYC
- Travel-rule
- Smart routing
- MEV protection
- Liquidation defense
- Rebalancing
- Underwriting
- Document intelligence
- Cap-table updates
- Redemption
- Proposal analysis
- Vote casting
- Delegation
- Treasury motions
- Anomaly interception
- Contract analysis
- Key-policy checks
- Incident triage
- Continuous attestation
- Decision trails
- Reconciliation
- Model & data lineage
The model decides. The policy you own enforces. You keep both.
Agents that can act on money — and can't run off with it.
An agent proposes; the chain disposes. Spend limits, allowlists, and multisig live in contracts the agent can't override, so autonomy never means custody risk. High-stakes actions stay human-in-the-loop by default — the model decides, the policy you own enforces, and a person signs where it counts.
Illustrative — runs in your browser, moves nothing real.
Market data, a schedule, or a request — whatever should trigger a decision.
The model drafts an action — a payment, a rebalance, a route. A proposal, not yet a transaction.
Spend limits, allowlists, and rules the agent can't edit are checked on-chain.
Above your thresholds, a person signs. Routine actions inside policy pass on their own.
Multisig and limits enforce. It clears within policy — or it never happens.
Give it a mandate and a limit. It drafts the rebalance; anything bigger than the limit waits for a signature.
The agent reads the mandate and proposes a move. Anything bigger than your limit waits for a human signature.
Illustrative — runs in your browser, moves nothing real.
The agent triages and proposes; your team approves, declines, or escalates to multisig — with the reasoning attached.
Draw $40k on Credit Line A
Why: Utilization sits at 38%, well inside covenant; the rate is favorable this week.
Flag tx 0x9f…c4 as anomalous
Why: Counterparty unseen for 9 months; amount is 12× their median. Pattern matches layering.
Route €250k EUR→USDC via corridor B
Why: Corridor A's spread widened 40bps in the last hour; B clears cheaper right now.
Sweep 8% of reserve into yield
Why: Reserve is above its target band; the destination vault is audited and within limits.
Illustrative — runs in your browser, moves nothing real.
Intelligence on top of the systems we already build.
Transaction monitoring & AML
Pattern detection over your settlement flows — flag what matters, on infrastructure you run, not a vendor's.
Private document intelligence
Underwriting and KYC documents read by models that run in-house, so sensitive records never leave. Built for the RWA and identity stacks.
Treasury intelligence
Forecasting, sweeps, and allocation signals over your on-chain treasury — owned, not outsourced.
Contract & threat analysis
Models that read Solidity and trace risk, in the loop with the audits we already run.
And you own all of it.
The agents are the product. This is the floor they stand on — the models, the data, and the stack stay yours. Rent the capability where it fits; run it on your own hardware where it must. Either way, no black box, no lock-in.
Send your transaction data and your customers' data to a third-party API and you've handed over the one thing you can't get back — your moat, and your users' privacy — to a vendor you don't control. Same problem as custodial money. Same answer: own it.
- Your dataStays in your infrastructure
- The modelPinned, versioned, yours
- Lock-inClean exit by design
- PrivacyProvable — runs where you can audit it
- CostYour compute, your budget
Which fits is a function of how sensitive the data is and what compute you have. We tell you straight, build the right one, and hand it over.
Move the two dials. The right answer is a function of what you can’t expose and what you can run — not of which model is biggest.
Frontier models for the low-stakes paths, your own stack for the sensitive ones. Most real deployments live here — and we draw the line explicitly.
Frontier, owned integration
Best-in-class models — Claude, GPT, Gemini — shipped into your product with hard data boundaries, eval harnesses, guardrails, cost controls, and an exit that doesn't cost you a rebuild. For when capability leads and the data allows.
In-house / self-hosted
Open-weight or fine-tuned models on your own compute — your VPC, your GPUs, on-prem. Your weights, your hardware, data that never leaves. For maximum sovereignty, privacy, regulatory limits, or cost at scale.
Honest tradeoff. Frontier buys capability and speed; self-hosting buys sovereignty and unit economics. We don't pretend one wins every time.
Built to be audited. Handed over to be owned.
- Data boundaries first — what leaves your perimeter is a decision you make, written down and enforced.
- Evaluated, not vibed — eval harnesses and regression suites, so quality is measured, not claimed.
- Guardrails and red-teaming — we attack it before it ships, like everything else we build.
- Provable by design — signed inference and decision trails, so an agent's actions are auditable like a contract is readable.
- Yours at handoff — weights, prompts, evals, and runbook. The engagement ends; you keep all of it.
Bring intelligence to your rails.
Tell us what you're building. We'll tell you whether to rent the capability or own the stack — and build whichever is right.
Disclaimer
Govart provides software engineering, technical advisory, and infrastructure services only. We advise on technology — not on financial, investment, legal, tax, or accounting matters. Nothing on this site is advice, an offer, a solicitation, or a recommendation.
We are not a bank, broker, custodian, exchange, payment processor, money-services business, or virtual-asset service provider, and we never hold, transmit, or take custody of client or end-user funds.
KYC, AML, sanctions screening, licensing, and regulatory compliance remain the responsibility of the operator that owns and runs each deployed system. We build the controls you specify; we do not act as your compliance function. Figures and examples shown are illustrative only.