The Cogniquest Platform
One platform for every decision your business runs on.
Unstructured data intelligence, enterprise context, governed decisioning and agentic execution in one platform. Every decision understood, reasoned, assured and decided, then carried through, with the evidence attached.
Hybrid AI
The best of both AIs, each where it belongs.
Enterprise decisions need reasoning that handles ambiguity and assurance that survives an audit. Cogniquest combines both.
| Aspect | Deterministic AI | Probabilistic AI |
|---|---|---|
| What it is | Cogniquest's IP: four patented cognitive engines, specialist models, rules and APIs | Frontier and open-source LLMs, and agents |
| What it's for | Precision, repeatability, traceability: validate, calculate, reconcile, enforce policy, structure language and knowledge | Reasoning and judgment: weigh ambiguity, choose between options, draft and explain |
| Its role | Assurance: checks and governs everything the reasoning produces | Reasoning: judgment where a step genuinely needs it |
Deterministic AI
- What it is
- Cogniquest's IP: four patented cognitive engines, specialist models, rules and APIs
- What it's for
- Precision, repeatability, traceability: validate, calculate, reconcile, enforce policy, structure language and knowledge
- Its role
- Assurance: checks and governs everything the reasoning produces
Probabilistic AI
- What it is
- Frontier and open-source LLMs, and agents
- What it's for
- Reasoning and judgment: weigh ambiguity, choose between options, draft and explain
- Its role
- Reasoning: judgment where a step genuinely needs it
Deterministic assurance, packed with reasoning.
- Assured outcomesSame answer every time, and agents' output verified.
- Governed decisionsOne set of access controls, rules and authority limits for every step.
- Full traceabilityEvery node records what it did and why, end to end.
- SpeedDeterministic steps run in milliseconds, with no model wait.
- Cost efficiencyLLM and agent spend only where it adds value.
How it works
From unstructured data to the action your systems take.
Read like an expert, not a scanner.
- Documents, emails, web pages or records, arriving by email, upload, cloud drive, ERP or API
- Prepared, identified and read: structure, tables, fields, language, numbers
- A 40-page claim bundle becomes known documents and cited facts
- Document intelligence
- DICER
- Table xTract
- Specialist models
Cogniquest technology
DICER. Because how you read a document decides what AI can know.
Document Intelligence & Contextual Extraction Router
Most AI cuts documents into arbitrary chunks: tables split mid-row, fields lose their labels, clauses lose their headings. DICER reads a document as it's built, handling each kind of content the right way, with its layout and context.
- 01Content kept as what it isTables stay tables, fields stay fields, and paragraphs keep their headings.
- 02Layout understoodStructure, hierarchy and reading order travel with the content.
- 03Reliable answers on topRetrieval and reasoning work on complete, meaningful units, which is what keeps answers grounded.
Arbitrary chunks
Tables split mid-row. Headings lost.
DICER units
Complete, meaningful units.
Cogniquest technology
Table xTract. Complex tables, read correctly.
Table understanding built on all four cognitive engines
Tables hold the numbers most decisions depend on, and they are one of the hardest problems in document processing.
- LLMs read a table as a stream of text
- Nested headers, merged or split cells and page breaks pull values away from their rows and columns
- An answer can look right while quoting the wrong column
Table xTract rebuilds the table first (grid, header hierarchy, spans), then extracts. Every value keeps its row, its column and its meaning.
Your context, not generic AI.
- Every fact grounded in your masters, rules, policies and domain knowledge
- Context-enriched retrieval brings the business into every question
- Multi-way reconciliation across documents and systems of record
- Context intelligence
- Advanced RAG
- Multi-way reconciliation
Where the two combine
The linguistic engine is enterprise NLP: precise and repeatable on its own. LLMs extend it with reasoning, and together they do more than either alone.
- 01LLMs reason over your knowledge, not the internet'sYour entities, terms and relationships ground the model's reasoning in your business.
- 02Retrieval brings the business into the questionContext from taxonomies and knowledge graphs returns answers about the business question, not just its words.
- 03Every conclusion can be checkedEntities, relationships and numbers are verified by the deterministic layer before a decision uses them.
Decision Evidence & Assurance
Assured, not just confident.
A value may come from vision, retrieval and reasoning, an extractor, your own model or an external service. However it was produced, it passes the same assurance layer before a decision can use it.
- Grounded by construction. An answer without support is never returned as an answer.
Three checks on every value
- Visual groundingEvery value traces back to the region of the page it came from, and is highlighted there.
- Context engineeringChecked against your masters, policies and the case it belongs to.
- Business rulesBusiness, format and derivation rules, formulas and look-ups, applied by the Rule Engine.
Engines that check each other. That is where assurance comes from.
Up to four perspectives on every document, so values stay numerically and structurally consistent. Each use case uses the engines it needs: some all four, others one or two. Where several apply, a value is trusted only when they corroborate it; a disagreement gets checked.
- Structural
- Linguistic
- Numerical
- Domain
Cogniquest's cognitive engines are protected by Indian Patent No. 591327.
A decision, with its reasons.
- Approve, reject, match, classify, score, recommend or escalate
- Under your policies and authority limits
- With reasons, evidence, confidence, the policy applied and full provenance
- Policies & authority limits
- Confidence
- Decision Record
Carried through, under governance
- Workflows and agents carry the decision into your systems
- Post to the ERP, update the claim, notify the customer
- Bring in a person exactly where policy requires
- Agentic & workflow orchestration
- Human review
- Enterprise integration
- Decision
- Recommend approval: $280
- Why
- Plan active · Damage covered · IMEI matches · Back glass not evidenced, excluded
- Evidence
- Claim form · Repair estimate lines 1–3 · Photos 1–3
- Rule Engine
- All checks passed
- S, L, N, D
- Alignment: Yes
- Confidence
- 95%
- Policy
- Device Protection Plan DP-PLUS
- Action
- Routed to adjuster (partial approval)
The platform stack
Built in layers, governed throughout.
Each layer builds on the one below it. Everything above the core is assembled from it, and nothing above it re-implements it.
- L4
Governed throughout: role-based access control
Set once at platform level and enforced in every product, workflow, agent and endpoint.
- Tenancy & isolation
- Maker–checker
- Separation of duties
- Auditability
- Spend control
- L3
Products and tailored outcomes
Any business process, with its own screens, vocabulary and endpoints. Start with an industry product (APWise, ClaimWise, FinWise), a cross-industry product (MailWise, DocWise), or a tailored outcome, such as corporate onboarding & re-KYC or audit control testing.
- L2
Agentic and Workflow Orchestration Studio
Where workflows and agents are built, tested and run, connected to your systems.
- Outlook & OneDrive
- Google Drive
- Jira
- DocuSign
- APIs
- L1
The Cogniquest Core
Document, data and context intelligence, assurance and the cognitive engines.
Anything the platform can do, a workflow can compose, an agent can call and a product can be built from.
Agentic and Workflow Orchestration Studio
One studio for workflows and agents.
Workflows and their agents on one canvas, so nothing drifts between them. Drag and drop, or describe the change in plain words.
Workflows: the backbone of every process
- Work arrives by email, cloud drives, uploads or APIs
- You set the sequence: branching, loops, waits, human checkpoints
- Each step a deterministic API or an agent, as the step needs
- Any step can call a platform capability, external system, agent or workflow
- Connect a system once, use it in every workflow and agent
Agents: judgment where it's needed
- Defined by purpose, model, instructions and tools
- Or describe the job and let the studio draft it
- Agents call agents, within their own limits, memory and cost ceilings
- Any model, frontier or open
- Observability
- Evaluation
- Human confirmation
- Spend control
Not every step needs to be agentic
In the Orchestration Studio, each workflow step is a node: a deterministic API or an agent, chosen for what the step requires. LLMs and agents only where judgment is needed.
- Read & extract Deterministic
- Validate rules Deterministic
- Weigh evidence Agent
- Reconcile & post Deterministic
- 01Reliable by design. Retries, resumption and recovery are handled by the platform, not left to the builder.
- 02Nothing goes live untested. Every workflow and agent is dry-run before it's published.
The Cogniquest Core
The foundation every product stands on.
The intelligence that does the work, the fabric it runs inside, and the patented engines beneath both.
Document intelligence
Prepares, classifies and reads every document: clean PDFs, poor scans, forms, tables, bundles.
Data extraction
Any document or record into the structured answer you asked for, field by field, validated against your rules and reference data.
DICER
Reads documents as they're built: complete, meaningful units downstream.
Table xTract
Reads complex tables correctly: nested headers, merged cells, borderless and multi-page tables.
Advanced RAG
Your business context in every question. Grounded, cited, model-agnostic.
Knowledge & reconciliation
Connects facts across documents and systems; reconciles two, three or N ways.
Assurance
Over every method: grounding, validation, consistency, confidence, full provenance.
Four cognitive engines
Structural, linguistic, numerical and domain intelligence. Patented.
- Intake & archive
- Context enrichment
- Routing
- Human review
- Collaboration
- Delivery
- Retention
Built for the enterprise
Your models. Your environment. Your rules.
Run it where your data lives, with the models you choose.
Adaptive model routing
Each task is routed to the right model for accuracy, latency and cost.
LLM & cloud agnostic
Frontier or open models, any major cloud. Adopt better models as they arrive, without rebuilding.
Deploy your way
SaaS, or ring-fenced in your own environment: on-premises or private cloud.
Governed by design
Role-based access, maker–checker, separation of duties and spend control, platform-wide.
Certified
SOC 2 · ISO 27001 · HIPAA · GDPR. Your data never trains our models.
Continuous learning
Improves over time: patterns from reviews, corrections and outcomes, learned in aggregate to refine extraction, rules and workflows. Your team controls what changes.
From proof of concept to production
In high-stakes operations, few LLM-driven and agentic systems reach enterprise-grade deployment. Most stall at the pilot: reasoning without assurance can't be audited, governed or scaled.
- Cogniquest is built for the step after the pilot
- Every product runs on the same governed core
- Deterministic assurance, role-based control and full traceability
What does the Cogniquest platform do?
It takes a decision from unstructured data to action in four stages. Understand reads documents, emails and records. Reason applies your masters, rules and policies. Assure checks every value before it's used. Decide makes the call within your authority limits, then workflows and agents carry it into your systems.
How does Cogniquest combine deterministic and generative AI?
Deterministic AI (Cogniquest's four patented cognitive engines, specialist models, rules and APIs) delivers precision, repeatability and traceability. Probabilistic AI (frontier and open-source LLMs, and agents) handles reasoning and judgment. The deterministic layer checks and governs everything the reasoning produces.
How does Cogniquest prevent AI hallucinations?
It is grounded by construction: an answer without support is never returned as an answer. Every value passes three checks before a decision can use it: visual grounding to the region of the page it came from, context engineering against your masters and policies, and business rules applied by the Rule Engine.
What is DICER?
DICER, the Document Intelligence & Contextual Extraction Router, reads a document as it's built instead of cutting it into arbitrary chunks. Tables stay tables, fields keep their labels and paragraphs keep their headings, so retrieval and reasoning work on complete, meaningful units and answers stay grounded.
How does Cogniquest extract data from complex tables?
Table xTract rebuilds the table first (the grid, the header hierarchy and the spans), then extracts, so every value keeps its row, its column and its meaning. It handles nested headers, merged cells, borderless and multi-page tables. You can try it free or get it on Microsoft AppSource.
Which LLMs and clouds does Cogniquest support?
Cogniquest is LLM and cloud agnostic: frontier or open models, on any major cloud, and you can bring your own LLM. Adaptive model routing sends each task to the right model for accuracy, latency and cost, and better models can be adopted as they arrive without rebuilding.
What systems does Cogniquest integrate with?
Integrations available today are Microsoft Outlook and OneDrive, Google Drive, Jira, DocuSign and APIs. ERP, core banking, claims and CRM systems connect through APIs, so a decision can post to the ERP, update the claim or notify the customer.
See the platform make a decision.
Watch an invoice and a claim go from documents to decision, step by step, with every reason on the record.