Evidence-first Agent Control PlaneDemo foundation · mock data · orgPortfolio Demo · not production ops

Agents should not act on guesses.

AxiomOS grounds every agent action in evidence, policy, approval, payment awareness, and receipts — an Evidence-grounded Agent Execution OS for physical AI, crypto, and advanced domains. Demo foundation · SoftPay won't.

Evidence
Trigger windows and grounded claims
Verify
Canonicalize, prune, policy gates
Receipts
Outcome linked to proof graphs
Evidence pipeline
observe → evidence → verify → receipt
demo
Observe
Task, sensor, or paid MCP tool request becomes an Observation
Evidence
Trigger window + evidence refs ground the claim before execution
Verify & Receipt
Verifier/pruner + policy gate; outcome written to Evidence Graph receipt
{ run_id: "run_20260622_001",
risk: "high", approval: "required",
receipt: "pending_signature" }
Evidence-grounded autonomy

Built for evidence-grounded autonomy

AxiomOS turns agent actions into governed runs — SoftPay won't · Demo foundation · not production Ready.

Find the trigger

Locate the decisive document line, run step, tool output, or payment event before an agent acts.

Ground every claim

Unsupported claims cannot become executable actions — evidence refs are required.

Normalize before deciding

Free-form outputs become comparable objects: proposals, policy checks, payments, outcomes.

Verify and prune

Contradicted, duplicate, or insufficiently supported proposals are removed before execution.

Escalate by risk

Low-risk may auto-run. Ambiguous, high-impact, or irreversible actions require verification or humans.

Receipt everything

Approved actions produce receipts with evidence, policy results, execution state, and outcomes.

Platform

Everything needed to operate specialized agents.

Built around evidence graphs, skill lifecycle, knowledge freshness, and safe execution—not just chat.

Evidence Runtime

Observation → Trigger → Claim → Verify → Decision → Outcome → Receipt.

Domain Packs

Install quantum, fusion, nuclear, crypto, physical AI, or finance capability as a package.

Skill Registry

Versioned skills with schemas, evaluators, risk levels, and release gates.

Knowledge OS

Real-time ingestion, freshness scoring, contradiction detection, and claim-level evidence.

Harness Lab

Regression, safety, domain accuracy, failure taxonomy, and cost/latency scorecards.

MCP Tool Layer

Connectors for APIs, databases, workflows, robots, and specialized tools.

Receipts & Proofs

Evidence Graph–linked records for decisions, tool calls, approvals, and payments.

Agentic Payments

Quote, budget, policy, approval, wallet, settlement (Demo rails · SoftPay won't).

Physical AI Layer

Event DSL, trigger intervals, evidence packets — not “AI said dangerous”.

Governance

Conditional compute, human approval, policy gates, and audit-ready evidence.

Domain Packs

Add a domain without rebuilding the agent.

Each pack ships ontology, knowledge sources, skills, tools, harnesses, default policies, and UI templates.

Physical AI
Cryptography
Quantum
Fusion
Nuclear
Energy
Finance
Robotics
User Flow

From landing to verified autonomous run in four steps.

Progressive disclosure keeps triage fast while evidence, policy checks, and receipts stay one click away.

1

Discover

Landing explains governed agents, domain packs, and protocol control plane.

Open Console
2

Configure

Install domain packs, attach skills/tools, set autonomy L0–L5 and budgets.

Agent Registry
3

Execute

Start a task run with policy preflight, tool calls, and receipt generation.

Run Console
4

Verify & Pay

Human approval for high-risk actions, payment guard, immutable receipts.

Protocols
dApp Console

Wallets and settlement for autonomous agents.

Agents request quotes, reserve budgets, trigger approvals, pay verified vendors, and reconcile spend against run receipts.

Agent Wallets
Approval Gates
Settlement Ledger
Security

Policy before payment.

Every agent wallet is constrained by domain, vendor, amount, risk, and required human approvals.

max_autonomous_payment: $50 approval_above: $100 blocked_vendor: unknown
Design Principle

No black-box autonomy. Every run has evidence, cost, policy, approval, and receipts.

Design tokens

Scientific, infra-grade palette for evidence-first operations. Console surfaces use the same tokens for consistency.

Background
#06070B

Main canvas

Panel
#0D1018

Cards and surfaces

Panel Elevated
#111522

Nested panels

Border
#22283A

Hairline dividers

Text
#F5F7FB

Primary copy

Muted
#8B93A7

Secondary copy

Accent
#7C5CFF

Primary actions

Verify
#17D6A3

Success and verification

Danger
#FF5370

Critical risk

Warning
#FFD166

Approval pending