Intelligent reading of complex documents
Processes diverse document types, from loan applications and KYC forms to contracts and statements, without rigid templates.

Enterprises handle massive document volumes daily. Cogniquest brings AI-powered intelligence to those workflows, automating the extraction, validation and processing of high-volume documents with speed and accuracy.
Specialised AI capabilities delivering end-to-end automation across document-intensive operations.
Processes diverse document types, from loan applications and KYC forms to contracts and statements, without rigid templates.
Automatically extracts key financial figures, disclosures and transaction detail into structured, analysis-ready form.
Captures documents from core systems, portals, shared mailboxes and scanning channels into one governed pipeline.
Classifies documents by type, so onboarding records, investment files and compliance packs route themselves.
Applies custom business rules to validate extracted data, checking totals, cross-references and expected relationships.
Applies a confidence score to every extracted field, so only genuinely uncertain values reach a human reviewer.
Turn complex financial filings into structured, actionable insights. FinSnif automates the extraction and structuring of financial data from unstructured documents such as annual reports, regulatory filings and earnings releases.
Built for equity research teams, financial analysts, underwriters and compliance teams, it delivers audit report parsing, formula-based validation, label restatement detection and trend analysis with confidence scoring and error flagging.
A platform of specialised engines, each solving a document problem that generic AI tools leave half-finished.
Extracting tables from PDFs and scanned documents is notoriously unreliable across complex structures, multi-page layouts and distorted formats. Table xTract identifies, extracts and transforms tables into structured, analysis-ready data for downstream systems.
Integrates proprietary and open-source Large Language Models to enhance document automation, knowledge extraction and conversational AI, combining transformer-based LLMs with context-aware cognitive AI for business-critical processing.
The Document Indexing and Chunking Engine performs deep structural analysis to extract text, headers, tables, checkboxes, images and graphs, building a hierarchical document map and self-contained chunks with full context for AI, ML and LLM-driven processing.
Automatically checks medical product packaging and labeling for regulatory compliance, accurate dosing information, warnings and correct symbology, helping pharmaceutical companies avoid recalls and regulatory penalties.
Template-free invoice handling: contextual AI reads invoices regardless of layout, structure or vendor, so new suppliers onboard faster and manual corrections fall away even for unfamiliar formats.
A family of packaged applications built on the same platform, covering document workspaces, mailrooms, claims, onboarding, accounts payable, audit and agentic workflows.
Solving high-stakes data challenges in capital- and compliance-intensive environments.
Extraction and validation of client information from unstructured onboarding documents, streamlining KYC and AML checks.
Automated extraction from credit reports and financial statements for faster, more reliable credit risk assessment.
Data extraction from checks, deposit slips, payment receipts, vendor invoices and agreements for seamless reconciliation.
Extraction, verification and validation of claim forms, medical records, accident reports and supporting evidence.
Validation of identity proofs, medical records and financial statements to streamline risk assessment and approvals.
A centralised repository for policy agreements, claims documents and legal contracts with search and navigation.
Extraction and structuring of patient intake data for efficient Electronic Medical Record updates.
Identifies outdated or missing documents and validates extracted data against established guidelines, including HIPAA obligations.
Accurate extraction of medication details, patient information and dosage instructions for dispensing and refills.
Extraction, validation and documentation of quality parameters across production stages and distribution channels.
Automated processing of invoices, purchase orders, shipping documents and inventory records for end-to-end visibility.
Processing, extraction and categorisation of statements, notices and service correspondence to speed up response management.
The platform is engineered by Cogniquest. Misi-Ziibi maps the document workflow, integrates the pipeline with the systems of record on either side of it, defines the exception path, and carries delivery accountability for the engagement.
Cut through complexity, eliminate inefficiencies and streamline processes across every document-intensive workflow.