Searchdoc Domain Intelligence Platform
Turn domain data
into operational
intelligence.
Understand the structures and language of complex documents, then connect retrieval, analysis, validation, generation, and operations in one continuous flow.
Platform overview
Connect fragmented data
into one workflow.
The Searchdoc Platform provides five shared layers between enterprise data and operational outcomes.
Enterprise data
Work intelligence
Why a platform layer
Move beyond AI that answers
to AI that operates evidence.
| Dimension | Conventional RAG / Document Q&A | Searchdoc Platform |
|---|---|---|
| Data | Retrieve extracted text | Structure clauses, tables, objects, and references |
| Domain | Rely on general-language semantics | Apply industry terminology, acronyms, standards, and practices |
| Change | Compare revisions manually | Trace revision history and semantic change |
| Output | Produce summary answers | Connect retrieval, comparison, validation, and generation |
| Operations | Manage individual model responses | Operate documents, dictionaries, access, feedback, and quality |
Platform architecture / Searchdoc Synapse
Understand the data,
build verifiable intelligence.
Structure industry data in the Data Layer, then connect operational capabilities and evidence in the Intelligence Layer.
Enterprise data
- Contracts · Technical documents
- Correspondence · Tables · Images
- Drawings · BIM · Approval records
Domain graph
- Document structure graph
- Object–document relationships
- Terminology index
- Revision history
Work request
- Evidence retrieval
- Revision comparison
- Condition validation
- Deliverable generation
Verified output
- Evidence-grounded answer
- Revision impact assessment
- Validation result
- Checklists · Reports
Industry solutions
One platform,
industry-specific intelligence.
Keep a common platform while configuring the documents, standards, language, and workflows unique to each industry.
01 / EPC
Engineering, Procurement & Construction
Connect contracts, technical specifications, correspondence, drawings, and BIM to support review, comparison, and validation.
View EPC Solution02 / Next domains
Complex document industries
Extend the same platform architecture to industries that rely on complex documents and evidence-based decisions.
Platform-readyIndustry solution / EPC
Turn EPC documents
into actionable
intelligence.
Connect fragmented documents, drawings, frequent revisions, and complex engineering language into one verifiable EPC workflow.
Continuous document revisions
Missed changes to material conditions in contracts, specifications, or correspondence create cost and schedule exposure.
Disconnected documents and drawings
Teams move across multiple systems for a single decision, while references and approval relationships remain disconnected.
Inconsistent review criteria
Multilingual engineering terminology makes review quality dependent on individual experience and expertise.
EPC workflows
Not isolated features,
complete EPC workflows.
Each workflow runs from source documents to a verifiable operational result.
Standardize tender and contract review.
Extract material conditions, align them with project requirements, and generate review checklists and draft comments.
- Input
- Contracts · ITB · Particular Conditions
- Output
- Review items · Draft comments
The liquidated damages cap exceeds the project threshold.
Clause 8.4 → Risk rule CT-08Search across document and language boundaries.
Search contracts, technical specifications, and project correspondence together while resolving acronyms, synonyms, and multilingual expressions to a common meaning.
- Input
- Natural-language query
- Output
- Cross-document source evidence
The Extension of Time entitlement criteria and notice period were retrieved together.
Contract 8.4 · Letter 2026-014Find changes in meaning, not just changed wording.
Compare superseded and current revisions, classify semantic and downstream impacts, and prioritize items for review.
- Input
- Rev.03 · Rev.04
- Output
- Change impact and review priority
The notice period was reduced from 28 days to 14 days.
Rev.04 / Clause 20.2Connect drawing objects to related source evidence.
Link drawing and BIM objects to technical specifications, correspondence, and approval records so site teams can verify the current basis.
- Input
- Drawings · BIM objects
- Output
- Linked documents · Approval history
The required LOD for P-312 does not match the current model properties.
Spec 23 11 00 · BIM Rule BR-09Generate checklists together with their evidence.
Convert obligations, acceptance values, and exceptions in contracts and specifications into review items, each linked to its source clause.
- Input
- Contracts · Specifications · Standards
- Output
- Review questions · Acceptance criteria · Evidence
Was written notice of the design change issued within 14 days of the event?
Contract Clause 12.3 · Specification 01 31 00Live validation / Flow
See how a checklist
is validated automatically.
Validate BIM objects and contract conditions against project requirements, linking each determination to its source evidence.
| ID | Validation item | Project requirement | Extracted value | Result | Linked evidence |
|---|---|---|---|---|---|
| CK-01 | Load-bearing wall fire rating | ≥ 2H | 2H | PASS | W-301 / FireRating |
| CK-07 | Architectural–MEP clashes | 0 clashes | 1 clash | FAIL | W-301 × P-312 penetration |
| CK-09 | MEP piping LOD | ≥ LOD 300 | LOD 200 | FAIL | P-312 / Missing connection |
| CT-04 | Design change procedure | Defined procedure | Insufficient | FAIL | Contract Clause 12 / Notice period missing |
| CT-06 | Force majeure clause | Cost allocation stated | Review required | WARN | Contract Clause 15 / Pandemic excluded |
Evidence in practice / Drawing intelligence
Turn a drawing
into decision-ready data.
Instead of storing drawing text and geometry as a flat image, structure objects, properties, dimensions, and references, then connect them to supporting documents.
CONFIDENCE 98%
General arrangement · Scale 1:100
W 2,000 · L 4,200 · D 1,500 mm
Spacing 300 mm · Drawing note N-14
Spec 03 20 00 · Approval Rev.04
End-to-end scenario
From document ingestion
to an auditable review outcome.
- 01UploadRegister documents and drawings
- 02StructureAnalyze structures and terminology
- 03ChecklistReview item generation
- 04SearchRetrieve related evidence
- 05CompareCompare revisions and conditions
- 06ValidateValidate requirements and results
- 07DeliverGenerate comments and reports
Traceability by design
Trace every result
back to its source.
Connect where a result came from, what changed, and who owns the next review.
Platform proof / Internal benchmark
Reliable evidence is
the basis of sound decisions.
Retrieval quality and throughput were compared under identical benchmark conditions.
Recall@10
NDCG@10
Requests / sec
The comparison uses the Market RAG and Market Reranker baselines stated in our company materials. Results were measured under the same internal benchmark conditions; actual performance may vary by dataset, infrastructure, and PoC environment.
Deployment & operation
Deployment options aligned
with security and operations.
SaaS
Validate and deploy quickly in the Searchdoc cloud.
Rapid PoC · Initial validationPrivate SaaS
Deploy in a dedicated or isolated customer cloud environment.
Dedicated infrastructure · EnterpriseOn-premise
Install within a private network or customer data center for security-sensitive environments.
Public sector · Enterprise · Security-sensitiveHybrid
Combine private-network and cloud services to match operational constraints.
Phased deployment · Hybrid environmentsContinuous operation
Designed to improve
after deployment.
Enterprise AI quality is sustained by continuously operating documents, terminology, quality controls, and user feedback—not by a one-time implementation.
- 01Document Update
Ingest new documents and revisions while maintaining the current project baseline.
- 02Dictionary Update
Continuously refine company terminology, acronyms, and engineering dictionaries.
- 03Quality Monitoring
Continuously monitor Recall, Precision, NDCG, omissions, and incorrect results.
- 04Feedback Loop
Feed user feedback and priority workflows back into quality improvement.
- 05Workflow Expansion
Extend review outcomes into checklists, reports, and agent workflows.
Multi-layered security
Multi-layer security
for enterprise data.
Separate network, identity, encryption, operations, and AI layers to meet customer security controls and data-egress requirements.
Private network
Minimize internet exposure through dedicated networks and private endpoints.
Access control
Integrate enterprise identity and role-based access controls for users and services.
Encryption & keys
Encrypt data in transit and at rest, with keys and access histories managed to customer policy.
Audit & monitoring
Record user, service, and security events to support audits and incident response.
Secure delivery
Include application protection, vulnerability scanning, and pre-deployment validation in delivery operations.
Private AI boundary
Support isolated AI configurations that prevent customer data from being used for model training.
Detailed controls are designed with each customer for their cloud, private network, and security policies; this public page summarizes principles only.

