Governed AI workflow platform

Enterprise AI you can actually trust.

Ultron turns your company's scattered documents into answers that are cited, human-reviewed, and auditable — then remembers every approved answer so the work gets faster each time.

// Live today: end-to-end security questionnaire completion · 5 department agents

Security questionnaire · Q14Grounded
“Do you encrypt customer data at rest and in transit?”
Yes. All customer data is encrypted at rest using AES-256 and in transit using TLS 1.2+. Encryption keys are managed through a dedicated KMS with quarterly rotation.
SOC 2 Report · p.12Security Policy · §4.3Approved memory · Q'25
STAwaiting reviewer sign-off
Cited · every claim traces to a sourceReviewed · a human signs off before it shipsRemembered · approved answers become reusable memoryAudited · every step is observable
The problem

The same high-stakes answers, rewritten again and again.

Teams answer critical questions from documents scattered across policies, contracts, SOC 2 reports, handbooks, and tribal knowledge. It's slow, it's risky, and no one can prove why an answer was given.

Slow & repetitive

The wheel gets reinvented

The same questionnaire, the same audit request, the same policy question — re-researched from scratch every single time.

Risky

An unsupported answer is a liability

One confident-but-wrong response in a contract or compliance reply creates real legal and financial exposure.

Unauditable

No trail of who, why, or where

There's no record of which source an answer came from, or who approved it before it went out the door.

Generic AI makes it worse

A chatbot hallucinates and forgets

It cites nothing, invents facts, forgets last quarter's approved answer, and has no one in the loop to catch it.

How it works

One trustworthy loop, in five steps.

No prompt engineering, no data science required. Point Ultron at your documents and it runs a governed loop — the same one, every time.

01
📥

Ingest

Upload your policies, reports, and past answers. Ultron parses them into citeable, searchable pieces.

02
🔎

Retrieve

For each question, it finds the exact passages that support an answer — and refuses if the evidence isn't there.

03
✍️

Draft

It writes a clear answer using only that evidence, with citations attached to every claim.

04

Review

A person approves, edits, or rejects each answer. Nothing ships without the sign-off you require.

05
🧠

Remember

Approved answers become institutional memory, reused as trusted evidence in every future run.

Why Ultron

We don't compete on integrations. We compete on trust.

Anyone can move data between tools. Ultron is built around the five things that make AI output safe to actually use in a high-stakes enterprise.

🔗

Evidence or nothing

Answers are drafted only from retrieved evidence. When the support isn't there, Ultron refuses instead of guessing.

§

Citations are first-class

Every factual claim traces back to a source document, page, or approved answer. Ungrounded sentences get flagged, not shipped.

👤

Humans stay in control

Review and approval are explicit, configurable gates — off, optional, or mandatory — not an afterthought bolted on later.

🧠

Approved work becomes memory

Once a human approves an answer, it's stored and reused as evidence. Your team's knowledge compounds instead of evaporating.

🔍

Inspectable by default

Every retrieval, generation, verification, and decision is a trace event you can open and audit — nothing is a black box to you.

⚙️

Deterministic, not autonomous

“Agents” are fixed, reviewable workflows of known steps — not free-form planners that improvise their way to a wrong answer.

Capability
Generic AI chatbot
Ultron
Grounds answers in your documents
Sometimes, unverifiably
Always, or it refuses
Citations on every claim
No
Yes, sentence-level
Human review gates
None
Configurable, enforced
Reuses approved answers
Forgets everything
Institutional memory
Audit trail of every decision
No
Full trace events
The wedge workflow

It lands with the workflow everyone dreads: the security questionnaire.

Hundreds of repetitive, high-stakes questions from a customer's security team — each one a place to accidentally over-promise. Ultron drafts every answer with citations, routes them through your reviewer, exports the finished packet, and remembers the answers for next time.

63%
Cycle time saved on completion
100%
Answers carry citations or a refusal
Answer once — reuse it forever
Across the org

One governed loop. Every document-heavy team.

The same trusted engine powers workflows across departments — assembled from reusable building blocks, not rebuilt from scratch.

Security

Security questionnaire response

Draft cited answers, reuse approved memory, export the packet.

Live
Legal

Contract summary & risk

Summarize, flag risky clauses and gaps, approve final language.

Available
HR

HR policy Q&A

Answer employee questions grounded in the handbook; escalate the sensitive ones.

Live
Finance

Audit query response

Cited responses with an approval trail before anything is shared externally.

Live
Procurement

Vendor risk assessment

Compare a vendor's evidence to your internal baseline and flag the gaps.

Live
Legal

NDA / redline review

Surface deviations from your standard terms with cited references.

Available
HR

Onboarding pack generator

Assemble role-specific onboarding docs grounded in current policy.

Available
Engineering

Runbook & architecture docs

Generate internal documentation from your source material, with citations.

Available
Plus investor diligence packets, regulatory response drafts, board update briefs, SOP documentation, and more →
Under the hood

The safety-critical path is a protected black box.

Reusable nodes and knowledge bases compose freely — but the part that keeps answers honest (retrieve → verify → refuse) is engineered to be tamper-resistant.

1 Retrieve — hybrid vector + keyword search
2 Fuse & rerank — rank the best evidence
3 Answerability gate — answerable / partial / insufficient
4 Draft — LLM writes from evidence only
5 Citation verify — check every sentence
Refuse if ungrounded — never hallucinate
  • Your data stays yours. Only the top-matching snippets are sent to the model — never your whole document set.
  • Run it in your network. Bring your own LLM and embeddings, including self-hosted, configurable per organization with no redeploy.
  • Build visually. Every workflow is a node graph you can view, edit, wire up, and run in a drag-and-drop canvas.
  • Everything is observable. Retrieval traces, per-step inputs and outputs, and cache hits are all inspectable.
What we measure

Governance you can put a number on.

100%
Answerable questions carry citations
False-refusal & hallucination rate, tracked on a labeled eval set
Approved-memory reuses per rerun
63%
Median reviewer time saved vs. manual
Get started

Stop rewriting the same answer.
Start trusting the ones you ship.

See Ultron complete a real security questionnaire — cited, reviewed, and exported — end to end.