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AI-native operations for enterprise IT

ENTERPRISE VELOCITY.
AI NATIVE.
BUILT FOR SCALE.

Velgent builds AI products that remove friction from enterprise IT operations — platform-agnostic by design, starting with ServiceNow.

See what's shipped
Built for production

The numbers behind the building blocks.

5
Structured signals
Summariser — intent, urgency, due-date, sensitivity, sentiment
<50ms
Deterministic verdict
Policy Engine validate mode — no LLM hop
0–1
Per-field confidence
Data Extractor — every value source-anchored
0
Bytes persisted
File data in memory only, cleared on response
Tenant-isolatedAudit-logged every callNo persistent storagePHI-aware recognizersPer-tenant LLM routing · BYOK
Live in production

Three building blocks. Already in production.

Summariser

Available

One-line pinpoint + structured intent for tickets, approvals and knowledge articles. Drop in any ticket body, support thread or approval note — get back the one-line summary your agent needs, plus action_needed, due_date, urgency_score and sensitivity as structured fields.

  • Pinpoint summary + structured intent fields in a single call
  • Tenant-isolated, audit-logged on every call
  • PHI-aware recognizers — tenant-flippable Healthcare profile
Try Summariser 
POST /api/v1/summarise

{
  "summary": "VPN drops every ~10 min since the 4.2 client update.",
  "intent": {
    "action_needed": true,
    "urgency_score": 0.82,
    "due_date": "2026-06-05",
    "sensitivity": "internal"
  },
  "sentiment": { "label": "frustrated", "score": 0.74 }
}

Policy Engine

Available

Policy as code, authored in plain English. Each policy is English text plus a declared input schema, usable in five modes — validate, generate, decide, score, classify. Compose into chains or graphs (DAGs) with conditional branching. One call returns per-step results plus a weighted aggregate score, bucketed pass / review / block.

  • Validate mode: pure DSL, deterministic verdicts in < 50 ms (no LLM hop)
  • Plain-English authoring — paste, preview, publish. No DSL, no code review, no compiler step in your CI
  • Chain or DAG of N policies in a single API call — weighted aggregate back, no glue code
Try Policy Engine 
POST /api/v1/policies/chain

{
  "aggregate": "review",
  "steps": [
    { "policy": "pii_guard",     "verdict": "pass"   },
    { "policy": "approval_tier", "verdict": "review",
      "score": 0.6, "reason": "spend over $5k" }
  ]
}

Data Extractor

Available

Schema-driven JSON, HTML fields, or full semantic HTML from text, image, or PDF. Every value comes with a 0–1 confidence score and an anchor pointing at the exact source phrase the model read — so your workflow can auto-approve the easy cases and escalate the uncertain ones without re-parsing the LLM's prose.

  • Three output modes — JSON for automation, HTML fields for ticket comments, full document HTML for re-flowing scans
  • No persistent storage — file bytes live in memory only, cleared before the response returns
  • Anchors mandatory — hallucinations drop to 0.2 confidence; auditors can cite the exact source phrase
  • PII visibility — Presidio on every text input, pii_detected events with per-category counts in your audit feed
Try Data Extractor 
POST /api/v1/extract

{
  "fields": {
    "invoice_total": {
      "value": "1,240.00",
      "confidence": 0.97,
      "anchor": "Total Due  $1,240.00"
    }
  }
}
Coming next

Two surfaces building on what already ships.

The next things we ship slot into the same engine the three products above already use — same per-tenant LLM routing, same audit feed, same residency + isolation guarantees. Built once, consumed many times.

Upcoming

Knowledge Hub

The currency layer for enterprise AI. Retrieval tells you what exists; Knowledge Hub tells you what's true right now — freshness signal + verified-at timestamp on every chunk — and verifies against the source before an agent acts on it. When two sources disagree, you get the authoritative answer and the reason, not both.

  • Currency-scored retrieval — every chunk carries freshness + confidence + verified-at, so agents can decide whether to trust it
  • Verify-before-act — a dedicated path confirms against the source system before an agentic action runs
  • Depth over breadth — ServiceNow ITSM semantics first (SLA, CIs, resolution validity), not 100 generic connectors
Design locked, engine build in progress.
Private beta · Q4 2026

Mobile Interface

Native iOS and Android app for end-users. Raise tickets, track approvals, query the assistant — all on the same engine your team integrates over HTTPS. A thumb-friendly surface that respects every tenant-isolation, audit, and policy guarantee the API enforces.

  • Same engine, mobile shell — no separate backend, no parallel audit trail to reconcile
  • SSO + biometric unlock — WorkOS AuthKit + device-native Face ID / fingerprint
  • Offline drafts — ticket bodies + approvals are draft-saved locally and synced when the device reconnects
Private beta opening Q4 2026.
See what's live today