Accounts Reconciliation
Financial Spreading
Digital Archive
SchematicIQ
Loan Ops
Docutwin
Contract intelligence
Speed up legal contract review with clause-level traceability. Collatio extracts clause-level terms in context, links every insight back to its exact source for defensible review. It flags deviations against templates and triggers alerts for renewals, expiries, breaches, and financial thresholds.
Book a Demo
Despite the widespread adoption and availability of check imaging and processing technology, most organizations still struggle to process and validate checks at scale. This is because the software they use is often template-dependent and lacks the ability to adapt to complex requirements, which introduces systemic challenges that lead to delays and errors in check processing.
Traditional check processing systems operate on siloed data and do not centralize transaction information, resulting in fragmented handoffs across intake, review, reconciliation, and retrieval. This increases manual intervention and leaves workflows disconnected.
Template-dependent platforms struggle to accurately extract check data across varying formats and lead to frequent errors in amounts, routing details, and payee fields.
Checks enter through branch, ATM, merchant capture, and remote deposit without unified datasets, which causes systems to overlook duplicate presentment, altered checks, and other discrepancies associated with fraud.
Collatio Contract Extraction is SCRY AI’s capability for clause-level contract intelligence across long, unstructured agreements. It ingests complete contract packs, digitises scanned inputs, identifies document sections and boundaries, and performs contract data extraction with context-aware models. The platform links each extracted insight back to its exact source location, flags deviations against templates, and applies rule-driven alerts for renewals or thresholds. It also supports human validation with tracked edits for audit and legal review.
Collatio supports contract review work that demands accuracy, transparency, and scale.
Collatio processes long agreements that run 100+ pages and still extracts clauses with context. It handles structured sections and free-text clauses in the same document. It also supports extraction across inconsistent layouts where clause formatting changes across pages. Reviewers get a clause view that stays tied to the original content, so they can validate quickly.
Collatio captures contract terms that often sit inside dense paragraphs. It extracts obligations and rights, key dates, monetary values, and conditions tied to events or thresholds. The output reflects clause context, not a single keyword match. This approach supports legal document data extraction where meaning depends on surrounding language and clause dependencies.
Collatio ingests complete packs as one case, including the main agreement and supporting documents. It links related content across annexures, guarantees, and stamp duty pages. The system also supports computed intelligence such as aggregated exposure across related documents when the case spans multiple agreements. Teams get one connected view of the pack rather than disconnected files.
Stitched PDFs often include multiple documents in one file. Collatio identifies contract sections and document boundaries inside stitched packs, so teams spend less time sorting and renaming files. Reviewers can jump to the relevant section faster. The system also maintains the relationship between sections and extracted attributes, which keeps review and audit work consistent.
Every extracted insight includes traceability back to the source clause. Collatio shows visual evidence for the clause location so reviewers can verify what the system extracted. This evidence supports defensible review for legal and audit teams. It also reduces back-and-forth during approvals because reviewers can confirm terms without searching across pages.
Collatio detects deviations between standard templates and executed contracts. It highlights changes that matter, such as shifted thresholds, altered obligations, or missing clauses. Rule-driven alerts cover expiries, renewals, breaches, and financial thresholds. Human-in-loop validation routes exceptions for review and keeps tracked edits. Teams get speed without losing accountability.
Collatio supports measurable gains in review speed, audit readiness, and risk control across enterprise contract workflows.
Document classification accuracy for good-quality inputs
Reduction in contract review time
Lower risk leakage due to missed clauses or dates
Faster turnaround for contract onboarding and review
Collatio runs contract processing through a structured flow that supports accuracy, governance, and traceability.
Collatio ingests the complete pack for a single case, including the main agreement plus annexures, guarantees, and stamp duty pages. If documents arrive as a stitched PDF, it still treats the pack as one connected set. This keeps cross-document context intact from the start and reduces missed attachments during review.
The platform digitises pages using proprietary OCR optimised for legal scans, then identifies document boundaries and auto-classifies document types inside the pack. It also detects sections so the pack is organised for extraction and review, even when layouts vary across documents.
Context-aware models perform contract data extraction at clause level, including obligations, rights, dates, monetary values, and conditions embedded within paragraphs. Collatio then normalises the results into structured contract attributes so teams can review terms in a consistent format across long, unstructured contracts.
For every extracted insight, Collatio creates clause-to-source traceability using bounding boxes, with visual evidence tied to the exact location. It flags deviations between standard templates and executed contracts, and it runs rule-driven alerts for expiries, renewals, breaches, and financial thresholds. Where a case includes multiple linked documents, it can also compute roll-ups such as aggregated financial exposure across the pack.
Exceptions route to human validation, where reviewers confirm terms against the source evidence and apply edits with tracked history for legal defensibility. After review, Collatio delivers verified contract attributes and evidence that legal, compliance, and operations teams can use for onboarding, periodic reviews, and ongoing monitoring.
Collatio supports contract packs that contain multiple linked documents, whether separate files or stitched together.
Collatio supports governed processing by design, using traceability and controlled review steps.
Clause-to-source links and visual evidence support verification and audit review.
Human validation with tracked edits keeps decisions visible and defensible.
Alerts for expiries, renewals, breaches, and financial thresholds support ongoing monitoring.
We are trusted by enterprises globally.
Connect with your existing enterprise platforms through APIs and direct data exchange, keeping your workflows intact and your teams in sync.
Get faster review cycles, clear deviation detection, rule-driven alerts, and source-linked evidence that supports enterprise contract workflows.
Discover how SCRY AI solutions bring accuracy and innovation in document processing, conversational AI, and IoT operations.
Enterprise Knowledge
Agent
Realtime Intelligence
Analytica
CreditIQ
City Intelligence
Smart Utilities
Connected Worker & Assets
Drone Based Infra Monitoring
SceneTrack
