The Cogniquest Platform
One platform for every decision your business runs on.
Document intelligence, enterprise context, governed decisioning and agentic execution in one platform. Every decision is understood, reasoned, decided and acted on, with the evidence attached.
Hybrid AI
The best of both AIs, each where it belongs.
Enterprise decisions need two things that rarely come together: reasoning that can handle ambiguity, and assurance that can stand up to 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, plus NLP (ontologies, taxonomies, knowledge graphs, named-entity recognition) | Frontier and open-source LLMs, and agents |
| What it's for | Precision, repeatability and traceability: validating, calculating, reconciling, enforcing policy, structuring language and knowledge | Reasoning and judgment: handling ambiguity, choosing between options, drafting and explaining |
| Its role | The assurance layer. It checks and governs everything the reasoning produces | The reasoning layer. It adds judgment where a step genuinely needs it |
Deterministic assurance, packed with reasoning.
Where the two combine
The linguistic cognitive engine is natural language processing built for the enterprise: ontologies, taxonomies, knowledge graphs and named-entity recognition. On its own, it structures language precisely and repeatably. Combined with frontier LLMs, it does more than either could alone.
- 01LLMs reason over your knowledge, not the internet'sYour ontologies and knowledge graphs give the model your entities, terms and relationships, so its reasoning is grounded in your business.
- 02Retrieval brings the business into the questionContext drawn from taxonomies and knowledge graphs means what comes back is about the business question, not just close to the words.
- 03Every conclusion can be checkedEntities, relationships and numbers the LLM relies on are verified against the deterministic layer before a decision uses them.
Not every step needs to be agentic
In the Agentic and Workflow Orchestration Studio, every step of a workflow is a node, and each node is either a deterministic API or an agent. You choose per step, based on what that step actually requires. LLMs and agents are used deliberately, only where judgment is needed.
- Read & extract Deterministic
- Validate rules Deterministic
- Weigh evidence Agent
- Reconcile & post Deterministic
- Assured outcomesDeterministic steps give the same answer every time, and they verify what the agents produce.
- Governed decisionsEvery step, deterministic or agentic, runs under the same access control, rules and authority limits.
- Full traceabilityEvery node records what it did and why, so a decision can be followed end to end.
- SpeedDeterministic steps run in milliseconds, with no waiting on a model where none is needed.
- Cost efficiencyLLM and agent costs are spent only where they add value.
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, because reasoning without assurance can't be audited, governed or scaled. Cogniquest's platform-driven approach is built for the step after the pilot: every solution runs on the same governed core, with deterministic assurance, role-based control and full traceability.
A governed platform you run on your own infrastructure, with your own models. Not another point tool. Not a black-box agent.
How it works
From the document you receive to the action your systems take.
- 01
Understand
Read like an expert, not a scanner.
Documents arrive however they arrive: email, upload, cloud drive, ERP or API. Cogniquest prepares them, identifies each one, and reads its structure, tables, fields, language and numbers. A 40-page claim bundle becomes a set of known documents and cited facts.
- Document intelligence
- DICER
- Specialist models
- 02
Reason
Your context, not generic AI.
Every fact is grounded in your masters, rules, policies and domain knowledge. Context-enriched retrieval brings the business into every question. Reconciliation checks each document against the others and against your systems, so a figure on page 2 has to agree with the PO, the receipt and the ledger.
- Context intelligence
- Advanced RAG
- Multi-way reconciliation
- 03
Decide
A decision, with its reasons.
Approve, reject, match, classify, score, recommend or escalate, all under your policies and authority limits. Each decision is assembled with its reasons, the evidence behind them, a confidence level and the policy applied.
- Business rules & policies
- Assurance
- Decision Record
- 04
Act
Carried through, under governance.
Workflows and agents carry the decision into your systems. They post to the ERP, update the claim, notify the customer, or bring in a person exactly where policy says one is needed.
- Agentic & workflow orchestration
- Human review
- Enterprise integration
- Auto-approve & post
- Route for review
- Escalate & flag
- Trigger actions
Decision Evidence & Assurance
Assured, not just confident.
A value can come from vision, from reasoning over retrieved context, from an extractor, from your own model or from an external service. How it was produced doesn't change what has to be proved about it. Every value passes through the same assurance layer before a decision can use it.
- Grounded to the source
- Numerical & structural consistency
- Rule-engine validation
- Full provenance
- Grounded by construction. An answer without support is never returned as an answer.
- Cited to the source. Every value traces back to the region of the page it came from, and is highlighted there.
- 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
- Confidence
- 95%
- Policy
- Device Protection Plan DP-PLUS
- Action
- Routed to adjuster (partial approval)
Context from one engine is brittle. Assurance comes from four.
Cogniquest reads every document from four perspectives at once. A value is trusted only when the engines corroborate it, and when they disagree, that disagreement is what gets checked.
- StructuralHow a document is built: layout, tables, reading order and boundaries
- LinguisticWhat a document says: concepts and terminology, through ontologies, taxonomies, knowledge graphs and named-entity recognition
- NumericalWhether the numbers hold: units, tolerances, arithmetic and totals, within a document and across a set
- DomainWhat it means for your business: your reference data, standards and precedents
Cogniquest's cognitive engines are protected by Indian Patent No. 591327.
Cogniquest technology
DICER. Because how you read a document decides what AI can know.
Document Intelligence & Contextual Extraction Router
Most AI systems cut documents into arbitrary chunks. Tables get split mid-row, fields lose their labels and clauses lose their headings, and the answers built on them inherit the damage. DICER reads a document as it is actually built. It recognizes each kind of content, handles each one in the right way, and keeps the layout and context around it.
- 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.
The platform stack
One platform, layer by layer.
Each layer builds on the one below it. Everything above the core is assembled from it, and nothing above it re-implements it.
- L5
Governed throughout: role-based access control
Who may see it, who may do it, who must approve it, and what it may spend. Decided once at platform level and enforced in every solution, workflow, agent and endpoint.
- Tenancy & isolation
- Maker–checker
- Separation of duties
- Auditability
- Spend control
- L4
Solutions: a solution is an outcome
Any business process becomes a solution, with its own screens, vocabulary and endpoints. Start with a domain solution (APWise, FinWise, ClaimWise) or a cross-industry product (MailWise, DocWise), or build the outcome your business needs, such as corporate onboarding & re-KYC or audit control testing.
- L3
API Portal: work comes in, capability goes out
Work arrives from email, cloud drives, uploads or APIs. Capability goes out as secure, documented endpoints. Every call is authenticated, rate-limited and logged, and a system connected once is available to every workflow and agent.
- Outlook & OneDrive
- Google Drive
- Jira
- DocuSign
- APIs
- L2
Agentic and Workflow Orchestration Studio
One studio for workflows and agents.
- L1
The Cogniquest Core
The foundation every solution stands on.
Anything the platform can do, a workflow can compose, an agent can call and a solution can be built from.
Agentic and Workflow Orchestration Studio
One studio for workflows and agents.
Workflows and the agents they use are built in the same place, on one canvas, so nothing drifts between them. Build by drag-and-drop, or describe the change in plain words.
Workflows: the backbone of every process
You decide the sequence, with branching, loops, waits and human checkpoints. Every step is a node, either a deterministic API or an agent, chosen for what that step truly needs. A step can call any platform capability, any external system, any agent or any other workflow.
Agents: judgment where it's needed
Define an agent by its purpose, its model, its instructions and the tools it may use, or describe the job and let the studio draft it. Agents can call other agents, and they run with their own limits, memory and cost ceilings.
- Any model, frontier or open
- Observability
- Evaluation
- Human confirmation
- Spend control
- 01An agent only where judgment is needed. Deterministic logic everywhere else.
- 02Reliable by design. Retries, resumption and recovery are handled by the platform, not left to the builder.
- 03Nothing goes live untested. Every workflow and agent is dry-run before it's published.
The Cogniquest Core
The foundation every solution 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 kind of document, from clean PDFs to poor scans, forms, tables and bundles.
Data extraction
Turns any document or record into the structured answer the business asked for, field by field, validated against your rules and reference data.
DICER
Reads documents as they're built, so everything downstream works on complete, meaningful units.
Advanced RAG
Retrieval that brings your business context into every question. Grounded, cited and model-agnostic.
Knowledge & reconciliation
Connects facts across documents and systems, and reconciles them two, three or N ways.
Assurance
The layer over every method: grounding, validation, consistency, confidence and 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.
A governed platform you run on your own infrastructure, with your own models. Not another point tool. Not a black-box agent.
Adaptive model routing
Each task is routed to the right model for accuracy, latency and cost.
LLM & cloud agnostic
Frontier or open models, on any major cloud. Adopt better models as they arrive, without rebuilding.
Deploy your way
As SaaS, or as a ring-fenced deployment inside your own environment, on-premises or in your private cloud.
Governed by design
Role-based access, maker–checker, separation of duties and spend control across the whole platform.
Certified
SOC 2 · ISO 27001 · HIPAA · GDPR. Your data never trains our models.
Continuous learning
The platform improves over time. Patterns from reviews, corrections and outcomes are learned in aggregate and used to refine extraction, rules and workflows, with your team in control of what changes.
See the platform make a decision.
Watch a claim and an invoice go from documents to decision, step by step, with every reason on the record.