Agentic Unstructured Data Intelligence
Structured + Unstructured
= 100% Intelligence
10%
10%
Operational intelligence trapped in unstructured data → Finally Unlocked
0 min
0 min
Root-cause analysis, down from 2-3 weeks of manual document review
0
0
Hallucinations: every output evidence-linked and source-traceable
0 weeks
0 weeks
From discovery call to first production agent in your environment
SOC 2 Data Centres
GDPR
HIPAA
ISO 27001
Cloud
On-premise
Air-gapped
Hybrid
Where every PDF, email, and report becomes a decision.
EXTRCT is an Agentic Multi-Agent System that fuses structured data (ERP, MES, KPIs) with every byte of unstructured data (emails, scanned PDFs, technician notes, WhatsApp threads, photos, repair estimates etc.) and turns it into auditable, evidence-linked decisions.
Built on a three-pillar architecture (Read → Reason → Resolve), EXTRCT deploys collaborative AI agents across Operations, Insurance, Manufacturing, and Compliance with document-level evidence, root-cause traceability, full auditability of every output, and SOC 2 / GDPR / ISO 27001 compliance baked in.
Not a document search tool. Not a BI dashboard.
Production-Ready Operational Intelligence, Optimised: faster decisions, zero hallucinations, complete intelligence at scale.
Three-Pillar Architecture.
One Unified Intelligence Layer.
Evidence-linked decisioning with cross-validation enforced at every step (entity consistency, source traceability, agent-level cross-checks) and full audit trail your operations committee can actually use. Most document AI tools fail in enterprise environments because they read content without understanding it.
EXTRCT solves this with a three-pillar architecture that separates it from every competing platform.
01 - READ
Document Intelligence
Specialised agents extract entities, metrics, tables, and contextual signals from PDFs, scanned reports, email threads, technician notes, WhatsApp chats, photos, and 50+ other unstructured sources including handwritten notes, mixed-language documents (European / English / Arabic), and noisy scans. Native processing. Zero manual templating.
02 - REASON
Multi-Agent Collaboration
Pattern Detection, Root-Cause, and Validator agents collaborate in real time → Cross-checking each other's outputs, surfacing correlations between structured and unstructured signals, and tracing every conclusion back to its source documents. Zero hallucinations. Full evidence chains. Human-in-the-loop only when it actually matters.
03 - RESOLVE
Evidence-Linked Decisions
Synthesis and Conversational agents deliver root-cause insights, predictive early warnings, and automated decision workflows. Every output is queryable in natural language, traceable to its source documents, and audit-ready by default → Not as a feature, but as the foundation of how EXTRCT thinks.
ENTERPRISE-GRADE | READY FOR DEPLOYMENT
The hidden 80% your BI tools never see.
Traditional analytics handles 40% of your data. The rest → the maintenance reports, the email threads, the technician scribbles, the photos, the supplier negotiations, the audit notes, the customer complaints, sits in folders and inboxes, where the real "why" behind every metric quietly lives.
EXTRCT processes it natively. All of it.
Empowers enterprises with collaborative document agents → Document Intelligence Engine, Pattern Detection Agents, Root-Cause Reasoning, Validator Agents, and Natural-Language Knowledge Copilot, seamlessly embedded across Operations, Insurance Claims, Manufacturing Maintenance, and Compliance.
Connects to all major ERPs, MES Systems, Document Repositories, & Email Infrastructure
END-TO-END PLATFORM
Everything you need to own your Operational Intelligence.
AGENTS
Document Intelligence Engine
Extracts entities, metrics, tables, and context from unstructured sources → PDFs, scanned reports, email threads, photos, handwritten notes, mixed-language docs. Native processing, no templating.
Pattern Detection Agents
Identifies correlations across structured KPIs and unstructured documents. Surfaces hidden patterns e.g. supplier specification changes, recurring failure signatures, anomalies, that quarterly reviews miss.
Root-Cause Reasoning Agents
Traces issues back to their origins by linking structured metrics to unstructured evidence. Answers the "why" behind every "what" with source documents cited inline, not as an afterthought.
Validation & Cross-Check
Validator agents challenge other agents' outputs, detect inconsistencies across documents, and enforce entity-consistency rules (VINs, dates, part numbers). Zero-hallucination outputs by design.
Natural-Language Service Copilot
Your operations team asks questions in plain English. EXTRCT queries the unified knowledge graph, traces evidence, returns auditable answers with citations → no BI ticket, no analyst bottleneck.
CAPABILITIES
Knowledge Agent Builder
Configure agents against any document type, business process, or operational workflow using natural language. Set evidence rules, escalation thresholds, and validator chains in one interface.
Decision Workflow Builder
Visual multi-step approval flows → shadow mode, human-in-the-loop, auto-approve by confidence threshold. Route every output through the governance your organisation requires.
Source-of-Truth Synthesis
Unified knowledge graph fusing structured databases with vector embeddings of every unstructured artefact. Query 100% of your operational intelligence from a single semantic layer.
Audit Trail Diagnostics
Every agent action, every reasoning step, every source-document citation logged and queryable. Regulatory traceability and commercial accountability from day one.
Context Engine
Live semantic graph connecting your ERP, MES, document repositories, communication channels, and historical archives → context that travels with every decision.
ENTERPRISE
Multi-Agent Orchestration
Trigger, route, and coordinate hundreds of agents across departments, document types, and decision workflows from a single control plane. Respects your operational hierarchy.
Evidence-Linked Governance
Every agent output policy-checked, source-traced, reviewer-routed, and logged for commercial and regulatory traceability. Compliance is not a layer; it is the substrate.
On-premise Deployment
Run the full platform in your data centre → Air-gapped, Self-hosted, with your own LLMs. No documents, no operational signals, no derived intelligence leaves your perimeter.
AI Gateway
200+ models through one API with intelligent routing → use the best model for each agent task while maintaining unified governance, cost controls, and audit logging.
Security & Trust
SOC 2, GDPR, HIPAA, ISO 27001-ready compliance for every deployment → the bar enterprise procurement requires before the conversation even starts.
DEPLOYMENT VERTICALS
Deployed across every category where Operational Intelligence Matters.
Banking & Financial Compliance
KYC documentation parsing, AML transaction-narrative reasoning, regulatory-change tracking across jurisdictions, audit-evidence linking, and case-file synthesis → compliance work that historically required 40% of analyst time, automated end-to-end.
Automotive Insurance & Warranty
Lead enrichment from CSVs, vehicle intelligence via OCR (VIN/plate recognition), inspection scheduling, premium calculation, and multi-channel personalisation → Agents running continuously without proportional headcount growth. 4–6× higher extended-warranty conversion in GCC deployments.
Claims Recovery & Adjudication
Automated email intake, OCR across 5–15 PDFs per claim (policies, police reports, invoices, photos), entity cross-checking, parts/labour benchmarking, and HITL escalation. 70–80% faster claims processing with 15–25% cost savings via benchmarked repair estimates.
Healthcare & Pharma
Patient note synthesis, clinical trial documentation, adverse-event extraction, regulatory submission preparation, and quality-system audit trails. HIPAA-ready deployments with on-premise inference for PHI sovereignty.
Energy, Utilities & Heavy Industry
Outage post-mortems, grid-asset health synthesis from inspection notes, regulatory-filing automation, and HSE-incident root-cause analysis across multi-decade document archives. Production deployments in regulated, high-stakes operating environments.
Manufacturing & Industrial
Failure-pattern detection across maintenance reports, MES exports, and technician notes. Root-cause analysis from 3 weeks to 3 minutes. Complete visibility into supplier-specification drifts, recurring defects, and equipment health signatures. +70% data-steward productivity.
WHY EXTRCT
Production-proven.
pilot programme.
READY TO BE DEPLOYED
EXTRCT is in production across enterprise environments today → GCC automotive insurers, GCC third-party claims recovery teams, and European manufacturing operations. Go-live in 6 weeks from discovery, not 6 months. Pilot deployments use the same Meta-Engine that powers full enterprise rollouts.
EU-NATIVE, GDPR-FIRST
Designed for European enterprise buyers navigating GDPR, HIPAA, and sector-specific compliance. Your documents, your operational signals, your knowledge graphs → None of it crosses a border without your explicit consent. Air-gapped, on-premise, and self-hosted-LLM deployments are standard, not premium.
DELIVERY LAYER BAKED IN
EXTRCT ships with Agentics' Validation-First Framework for enterprise transformation and a 6–12 month operational-impact commitment. Not a software licence thrown over the wall; a delivery partnership measured in decisions automated, hours returned, and errors eliminated.
PRICING
Transparent pricing aligned to intelligence captured.
EXTRCT is an enterprise platform, not a self-serve SaaS product.
Every engagement starts with a discovery session to scope your unstructured data sources, target workflows, and operational-impact goals.
All plans include Agentics' delivery layer.
No per-document traps. No hidden costs.
Pricing scales with the operational intelligence EXTRCT captures for your organisation.
VALIDATE
Proof of Value
For enterprises evaluating EXTRCT against a single workflow or document type before committing to full deployment.
One workflow or document type scoped to your use case
Up to 3 unstructured source connectors (e.g., email + PDF + photos)
Document Intelligence + Pattern Detection agent setup
Agentics delivery team included
Cloud deployment (EU or your region)
4–6 week sprint from kickoff to first agent live
BOOK A DISCOVERY CALL
SCALE
Production Deployment
For enterprises ready to deploy EXTRCT across a full operational department with a committed 6-month impact target.
Full three-pillar architecture (Read → Reason → Resolve)
Up to 10 unstructured source connectors
Multi-agent orchestration across one business unit
Knowledge Agent Builder + Decision Workflow Builder
Dedicated Agentics delivery partner
Cloud or on-premise deployment
6-month operational-impact commitment
GET STARTED
Most popular
ENTERPRISE
Full Platform License
For enterprises deploying EXTRCT across multiple business units with custom governance, integrations, and SLAs.
Unlimited source connectors and agent configurations
Multi-business-unit orchestration
Air-gapped / on-premise / hybrid deployment
Self-hosted LLMs (no data leaves perimeter)
Custom SLAs + 99.9% uptime guarantee
Dedicated customer success + 24/7 support
12-month operational-impact commitment
Custom compliance frameworks (HIPAA, sector-specific)
TALK TO US
FAQs
Most customers see operational impact within the first 6–8 weeks. Questions about deployment models, integrations, governance, or how EXTRCT handles your specific document types? We have answers.
How is pricing calculated?
EXTRCT pricing is structured around workflow scope, not document volume or per-page fees. Each tier includes a defined number of source connectors, agent configurations, and business-unit deployments. The Validate tier targets a single workflow; Scale covers a full operational department; Enterprise is unlimited across business units. Every engagement begins with a discovery session — typically 60–90 minutes — where we scope your unstructured data sources, target processes, and operational-impact goals. You receive a fixed-scope proposal with a 6 or 12-month impact commitment before any contract is signed. No per-document meters, no surprise overages.
Can we start small and scale?
Yes — and we strongly recommend it. The Validate tier is designed exactly for this: one workflow, one document type, one measurable outcome. You see EXTRCT working on your own messy data inside 4–6 weeks before committing to broader rollout. Once Validate has proven impact, the same Meta-Engine, agents, and knowledge graph extend into Scale (full department) and Enterprise (multi-business-unit) without re-platforming. No throwaway pilots, no rebuild between phases.
What deployment options are available?
EXTRCT supports four deployment models: Cloud (EU-region by default), Hybrid (control plane in cloud, data plane on-premise), On-premise (full stack in your data centre), and Air-gapped (no external connectivity, self-hosted LLMs). For regulated industries — healthcare, banking, energy, defence — air-gapped and on-premise are standard, not premium. Self-hosted LLM support means no document, no operational signal, and no derived intelligence ever leaves your perimeter.
Is there a free trial?
EXTRCT does not offer a self-serve free trial. Enterprise document AI requires real configuration against real data — not a sandbox demo with synthetic PDFs. Instead, the Validate tier functions as a paid proof-of-value, where in 4–6 weeks we deliver a production agent against your data with measurable impact. If Validate doesn't meet the impact targets agreed in the discovery session, we restructure or refund the engagement. That's the closest thing to "free" that's actually credible at enterprise scale.
How long does implementation actually take?
From discovery call to first production agent: 6 weeks for Validate, 10–14 weeks for Scale, 16–20 weeks for Enterprise. These are real timelines from real deployments, not aspirational. Speed comes from the Meta-Engine — battle-tested Kestra workflow orchestration, multi-tenant Neon Postgres, vector databases, and 50+ pre-built source connectors. We don't rebuild the foundation for each customer; we configure agents on top of it.
What happens to our data?
In Cloud deployments, your data stays in EU-region infrastructure with SOC 2 / GDPR / ISO 27001 controls, never used to train shared models, and isolated per tenant. In On-premise and Air-gapped deployments, your data never leaves your perimeter — period. Every document EXTRCT processes is logged with full audit trails: which agent touched it, what was extracted, how downstream decisions were derived. You can purge any document and all derived embeddings on request, with cryptographic proof of deletion.
What if the agents make mistakes?
Validator agents cross-check every output, and Human-in-the-Loop (HITL) escalation routes ambiguous cases to your experts before any decision is committed. Every output carries a confidence score and source-document citations — auditors trace any decision back to the exact paragraph it came from. Mistakes in early production typically come from edge-case document types not seen during onboarding. The Feedback Loop folds these corrections back into agent calibration, so the system gets sharper with every escalation logged. Zero hallucinations is a design principle, not a marketing claim.
Can we use our existing LLMs?
Yes. The AI Gateway supports 200+ models — OpenAI, Anthropic, Google, Mistral, Cohere, plus self-hosted Llama, Qwen, DeepSeek, and your own fine-tunes. Different agents in the same workflow can use different models, optimised for cost, latency, or accuracy on the specific task. For air-gapped enterprise deployments, EXTRCT runs entirely on self-hosted models with no external API calls. We've deployed against on-premise Llama 70B, on-premise Qwen, and customer-fine-tuned proprietary LLMs — the agent orchestration is model-agnostic by design.
What makes this different from building custom?
Custom-build paths typically take 9–18 months to reach production parity with EXTRCT's day-one capability — and that's before factoring in Validator agents, evidence-linking, multi-agent orchestration, and audit-trail infrastructure that most internal teams underestimate by an order of magnitude. EXTRCT is the productised result of multiple production deployments across regulated industries. You inherit the architecture decisions, the failure modes already discovered, and the integration patterns already proven. Custom-build remains a valid choice for organisations with deep AI engineering benches; EXTRCT is the faster path for organisations whose talent is better deployed on domain problems than on rebuilding agent infrastructure.
