We remove friction from Compliance.

From regulation to proof. Automatically.

Reducing cost, complexity, time to market and risk exposure - with deterministic AI reasoning, full traceability, and audit-grade outputs.

Abivian compliance platform interface
0 hrs
Not 4-6 months
0%+
Cost savings
0K+
Regulations mapped
0%
Traceability
All Jurisdictions
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What they said when they saw it

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The Problem

It never sleeps.

It never stops changing.

It's rewriting itself as you read this.

It's called compliance.

The Solution

The platform that never sleeps.

Most platforms stop at the regulatory posture. Abivian takes it all the way into your operations.

The Rules Map your regulatory posture. Know exactly what applies, where you stand, and how to close the gaps.
01
Case Setup
Choose jurisdictions, frameworks, and scope. Upload your policies, contracts, and business documentation. Abivian structures it all before reasoning begins.
02
Regulatory Discovery
Automatically identify every applicable regulation - directives, statutes, agency guidance - verified from authoritative sources, across jurisdictions.
03
Regulatory Taxonomy
Full hierarchy with temporal resolution - transpositions, amendments, and availability windows - so you know what's in force, where, and when.
04
Requirements Extraction
Every obligation pulled from every regulation, clustered thematically so your team navigates what matters without drowning in volume.
05
Resolution & Verification
Every requirement resolved MET or NOT MET against your documentation. Verbatim regulatory text, sourced evidence, full traceability.
06
Remediation & Templates
Every gap becomes a governed action. Missing documentation for a new framework? Templates auto-populated with your context, ready to adopt.

The operational divide

This is where most platforms stop.

Abivian keeps going.

The Reality Bridge to operations. Where regulatory posture meets real systems - continuously, with evidence, with agents.
07
Controls & Risk
Atomized, testable controls derived from your regulatory posture. Each linked to compounded risk scores, penalty exposure, and detection probability.
Risk-linked control set
08
Control Agents
Autonomous agents run continuously against your data - collecting evidence, verifying controls, and flagging breaches before they reach an audit. Built around your compliance pain points.
Continuous evidence · Live verification
09
Continuous Monitoring
Real-time watch on every regulation in your graph. Changes, amendments, and new requirements caught and re-assessed before they impact your posture.
Verified change reports
10
Audit Trail
ISO 19011-aligned. Every decision, source, and evidence link documented. Export to audit packages, reports, and APIs - regulator-ready on demand.
Audit-grade trail
When regulations change →

The loop re-fires

The moment a regulation changes, the whole system responds.

Discovery re-runs. Requirements re-extract. Controls re-verify. Evidence re-collects. The operational bridge holds - automatically, without a ticket, without a human.

What you get Every output sourced, traceable, and audit-ready
Your Regulatory Posture
Company Context Graph
Regulatory Graph
Obligations Registry
MET / NOT MET Verdicts
Gap Analysis & Risk Scores
Penalty Exposure
Auto-Populated Templates
Your Operational Bridge
Control Agents
Controls API
Live Evidence Registry
Regulatory Change Alerts
ISO 19011 Audit Trail
Query & Export
Integrations & Reports

Controls & Risk

Every requirement becomes a testable control.

Abivian derives atomized controls from your regulatory posture and evaluates your operational data against them. Each control is linked to its regulatory source - and to what happens when it fails.

1

Send

Operational data - code, logs, descriptions, contracts, policies

2

Verify

Controls derived from your regulatory posture evaluate every item

3

Act

PASS or NOT PASS - failures linked to penalties, sanctions, and risk exposure

Controls Methodology

Derived from the regulatory graph, case context, extracted requirements, and regulatory consequences - creating atomized Controls that are self-contained and testable.

Self-contained & Testable

Controls Linked to Risk

Every Control inherits base risk from its regulatory source, then undergoes contextual risk assessment - compounded scores, gap analysis, detection probability, and multi-dimensional impact.

Compounded Risk Scoring

Controls API

Continuously send operational data to verify against controls. Failures are immediately flagged with priority - transforming static compliance into a living, continuously updated posture.

Continuous Verification

Control Agents

Autonomous agents built around your operational pain points. They run continuously against your systems - collecting evidence, verifying controls, and flagging breaches before they reach an audit. Human-in-the-loop where it matters.

Autonomous & Always-On

Why It's Different

The problem isn't hallucinations. It's the architecture.

Hallucinations are the symptom everyone talks about. But the real failure runs deeper - and it compounds with every page of regulatory text you add.

01
Hallucinations - the invisible kind
Ask an LLM a simple, distinct question and it performs well. The problem is barely noticeable. But feed it thousands of pages of regulatory text - all written in the same formal register, the same clause patterns, the same cross-reference style - and the model begins to silently blend what it read with what it statistically predicts.

It doesn't invent things from nothing. It conflates real provisions from different regulations. GDPR Art. 32 and DORA Art. 9 both use nearly identical language about "appropriate technical measures." The output looks correct. The article numbers are real. The reasoning sounds right. The jurisdiction is wrong.
Simple Q&A
Low
Mixed documents
Growing
100s of regulations
Critical
The more your context resembles itself - like regulatory text - the more the model confabulates with total confidence.
02
Sub-optimal outputs
Probable ≠ correct for your company. LLMs produce the most likely interpretation across their entire training corpus - answers optimised for the average company, not yours.

The right interpretation of DORA Art. 9 for a Tier 1 bank with legacy infrastructure is completely different from a cloud-native fintech. The model doesn't know the difference. It answers for the statistical middle - and the statistical middle fails your specific audit.
A correct-sounding answer built for no one in particular fails every audit that matters to you specifically.
03
Context rot
More context makes every problem worse. As input grows, relevant provisions become statistically insignificant against millions of distractor tokens. Research confirms performance degrades even when the model can perfectly retrieve the right evidence - the surrounding noise actively interferes with reasoning.
Short context~94% accuracy
One framework (~10MB)~76% accuracy
Enterprise compliance (~80MB)<50% accuracy
The bigger the case, the worse the AI. You pay more for results that are less reliable.
The agent myth
"Just use AI agents" doesn't solve this. It multiplies it.
Agents appear to solve reasoning and context problems by breaking tasks into steps. They don't. They layer orchestration complexity on top of a probabilistic foundation - making failures slower to detect, harder to trace, and impossible to present to a regulator.
Errors compound across steps
A wrong assumption at step 2 becomes immutable context at step 3. By step 10 you have a confident, coherent - and wrong - compliance assessment. No agent catches its own drift mid-chain.
Agents succeed ~50% of the time in production (2025 research)
No traceability across the chain
When a verdict is wrong, you cannot trace which step failed or why. In compliance, an untraceable output cannot be presented to a regulator, an auditor, or a board.
Courts have yet to rule on liability for autonomous agent errors (2026)
Probabilistic foundation, probabilistic ceiling
Agents built on LLMs inherit all three failure modes above. Orchestrating probabilistic steps doesn't make them deterministic - it gives failure more places to silently activate.
One generic interpretation at step 1 corrupts every downstream conclusion
What Abivian actually does - one company, one framework, one jurisdiction
10K+
equivalent ChatGPT prompts worth of reasoning per case
~12 hrs
parallel computation - what used to take 4–6 months manually
1000s
of verified reasoning steps, each earned before the next begins
Abivian doesn't send a prompt and wait for an answer. It runs a structured reasoning process - simulating, deducing, contradicting its own findings, and synthesising - until every conclusion is traceable to its source. This is what audit-grade means.
How Abivian is built differently Each pillar directly addresses one failure mode above
PILLAR 01
Preemptive ambiguity trap detection
Before any reasoning begins, Abivian scans for the specific failure modes that cause probabilistic systems to silently go wrong in regulatory text. If they cannot be resolved, the system halts rather than guessing.
↳ Addresses: invisible hallucinations
PILLAR 02
Iterative reasoning engine
Abivian doesn't generate a single response. It actively thinks - simulating, deducing, challenging its own findings, and building a verified chain of evidence before committing. Every step earns the next.
↳ Addresses: sub-optimal outputs
PILLAR 03
Knowledge distillation
Regulatory frameworks compressed into structured knowledge hierarchies - not summaries - preserving every definition, threshold, and cross-reference at full fidelity within manageable reasoning budgets.
↳ Addresses: context rot
PILLAR 04
Semantic document intelligence
Every provision retrievable, contextualised, and connected to the regulatory structure it belongs to. Complete coverage is guaranteed - no provision falls between processing boundaries.
↳ Addresses: agent & RAG failures

"The compliance industry doesn't need more powerful language models. It needs AI that is architecturally incapable of guessing."

The Proof

Nine ways Abivian pays for itself. Each one measured.

Every scenario below is a real use case. Every number is tied to a specific moment of compliance work - not a marketing average.

Hero scenario · Horizon Readiness

The full AMLR regime mapped, assessed, and operationalized - before the deadline hits.

119 obligations across 5 instruments. 212 items of Swedish transposition. 36 procedures. Abivian delivers the complete posture in a weekend - what would take a six-person compliance team months.

~48 hrs
End-to-end AMLR readiness · from cold start to operational plan
Scenario · Second Opinion

Validate a framework you've already implemented.

DORA live? Abivian stacks your documentation against every obligation. Surfaces what you missed.

+31%
avg. additional gaps surfaced vs. internal audit
Scenario · Market Entry

Launch in a new jurisdiction.

Product ready for Germany, Singapore, or the US? Abivian produces the compliance posture in parallel with launch prep.

−14 wks
avg. time saved vs. manual pre-launch review
Scenario · Product Change

Modify a product. Re-check in hours.

Change a feature or contract term. Abivian re-verifies the entire compliance envelope automatically.

12 hrs
full re-verification
Scenario · Group Consistency

One parent. 14 subsidiaries. One posture.

See which entities pass and which fail. Isolate group-wide gaps from local ones.

14 → 1
unified compliance view
Scenario · Operationalize

Pain point → Control → Agent.

Every gap becomes a governed action. Control Agents deploy against your systems for continuous verification.

18+
agent patterns ready to deploy
Scenario · Living Compliance

The loop never sleeps.

Regulations change. The loop re-fires. You stay compliant without watching.

24/7
continuous re-verification
Scenario · Executive Brief

Board-ready summary. One click.

Your posture, your gaps, your remediation plan - summarized for a non-technical audience. Built for the five-minute slot in the next board meeting.

1 click
from posture to C-suite narrative
Scenario · Audit Defense

Every verdict traceable. Every evidence sourced. Regulators get proof, not promises.

ISO 19011-aligned audit trail, generated continuously as the system runs. When the auditor arrives, the packet is already assembled - page-level citations, verbatim regulatory text, every decision linked to its source.

100%
traceability · page-level citations
90%
faster time to compliance
50%+
reduction in compliance cost
100%
audit-grade traceability
iterations · the loop never sleeps

One Platform · All Regulations

Built for regulatory breadth.
What's on your radar?

From financial compliance to AI governance to sustainability - one deterministic engine covers the full regulatory landscape.

Abivian
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60 sec brief
60-second briefing
The platform that never sleeps.
Most platforms stop at the rules. Abivian keeps going - all the way to the systems that live by them.
One customer, one compliance area — 11,590 pages of regulation to read, interpret, and prove against. Like reading War & Peace nine and a half times. Abivian does it in 12 hours.
The problem
100,000+ regulations. About 15% change every year. Most platforms hand you a posture - a map of what applies - and walk away. Operations are left to figure out the rest.
What we do
We map your regulatory posture across every framework and jurisdiction, and we cross the operational divide - with Control Agents running continuously against your systems, collecting evidence, verifying controls, and catching changes before they reach an audit.
Why it's different
Deterministic AI, not probabilistic guessing. Every verdict is sourced. Every decision is traceable. When a regulation changes, the loop re-fires automatically - and the system holds.