Multiple artifact types
Spreadsheets, images, work instructions, forms, quality records, contracts, and operational data.
Connected intelligence • Knowledge graph powered • Evidence-backed
Connected intelligence for enterprise artifacts
KaryaMesh helps enterprises understand, extract, connect, and verify information across spreadsheets, images, work instructions, specifications, forms, compliance records, contracts, and other business artifacts — so teams can ask questions in plain English, enforce business rules, and catch discrepancies before they become risk.
- Understand artifact types automatically
- Extract facts, entities, and relationships
- Link related artifacts into a connected mesh
- Ask questions in plain English
- Detect mismatches, gaps, and compliance risks
- Enforce business rules across workflows
Built for enterprises where critical knowledge is fragmented across many artifact types, teams, and systems.
Connected context
Facts, entities, approvals, relationships, lineage, and evidence linked together.
Actionable outcomes
Plain-English answers, discrepancy detection, and rule enforcement.
The problem
Enterprise knowledge is scattered. Risk hides in the gaps.
In most enterprises, important information does not live in one place. It is spread across spreadsheets, images, work instructions, specifications, forms, compliance records, contracts, logs, and other artifacts created by different teams, partners, and systems.
That fragmentation creates real business pain. Teams spend time searching, reconciling, and validating information manually. Related artifacts are difficult to connect. Answers depend on tribal knowledge. Inconsistencies go unnoticed until late. Decisions are made without complete context.
KaryaMesh turns disconnected enterprise artifacts into a connected, queryable, verifiable intelligence layer.
Inputs
What goes into KaryaMesh
KaryaMesh is designed to work from the realities of enterprise information — fragmented artifacts, partial context, and rules that matter.
Enterprise Artifacts
Spreadsheets, images, work instructions, specifications, forms, compliance records, contracts, logs, and other business artifacts are ingested and interpreted as structured enterprise context.
Domain Relationships
Known relationships between artifacts, entities, processes, or business concepts can be provided as a starting point. KaryaMesh uses them to accelerate understanding while continuing to discover additional relationships automatically.
Business Rules
Business rules define what must be enforced, validated, escalated, or reviewed. KaryaMesh applies these rules during ingestion, linking, querying, and discrepancy detection.
Supported Formats
Broad artifact type support
KaryaMesh processes a wide range of business document types, from spreadsheets and text files to images, PDFs, work instructions, quality records, and specialized formats. The platform's semantic engines understand context across all artifact types.
Connectors
Out-of-the-box connectors for artifact-heavy enterprise systems
KaryaMesh can pull enterprise artifacts from the source systems teams already use. Use the available connectors across the categories and tools shown here to bring content, records, and operational evidence into the platform faster.
If the desired tool or source is not listed, KaryaMesh can also build custom connectors so the right artifacts still become part of the governed knowledge fabric.
How it works
How KaryaMesh works
KaryaMesh performs initial discovery, semantic classification, knowledge extraction, verification, and rule alignment across enterprise artifacts. It then refines those outputs through multi-pass inference to build a connected, queryable, and enforceable intelligence layer.
Ingest enterprise artifacts
Bring in spreadsheets, images, work instructions, specifications, forms, compliance records, contracts, and operational records from enterprise sources.
Determine artifact type and extract meaning
KaryaMesh identifies what each artifact is, how it is structured, and what information matters.
Build the connected mesh
Extracted facts, entities, relationships, approvals, references, and dependencies are linked into a knowledge graph.
Apply questions, rules, and verification
Users ask questions in plain English, trace answers to evidence, and enforce business rules across the connected artifact landscape.
Initial Discovery & Multi-Pass Inference
Outcomes
What KaryaMesh enables
Ask in English
Ask natural-language questions across fragmented enterprise artifacts and get contextual, evidence-backed answers.
Example
Which production lot is tied to this quality exception, and does it match the latest approved specification?
Detect discrepancies
Surface mismatches, conflicting values, missing approvals, compliance risks, and broken linkages across related artifacts.
Example
Show me supplier records where the delivered item does not match the approved specification.
Trace across artifacts
Move from one artifact to related entities, approvals, requirements, versions, and decisions through connected context.
Example
What artifacts, reviewers, and approvals are tied to this issue?
Enforce business rules
Validate required relationships, approvals, versions, deadlines, and tolerances across the workflow.
Example
Which records violate current approval or version rules?
Use cases
High-value use cases for artifact-heavy enterprises
KaryaMesh is especially valuable where critical business knowledge is spread across many artifact types, teams, and systems.
Pharma & Life Sciences
Connect SOPs, batch records, deviations, CAPAs, specifications, validation artifacts, and quality records into a traceable intelligence layer.
Example question
Which released batches reference an outdated specification or unresolved deviation?
Manufacturing
Link BOMs, work instructions, inspection reports, engineering changes, supplier artifacts, and maintenance records into connected operational intelligence.
Example question
Which production lots used an outdated part revision or failed inspection without a linked disposition?
Procurement & Supply Chain
Connect RFQs, supplier bids, contracts, purchase orders, invoices, shipping records, certificates, and receiving artifacts across the source-to-pay lifecycle.
Example question
Which invoices do not match purchase orders or receiving records within allowed tolerance?
Legal & Contract Intelligence
Link agreements, amendments, statements of work, obligations, approval records, renewal notices, and policy exceptions into a connected legal intelligence layer.
Example question
Which active agreements contain non-standard terms without approved exception records?
Rule enforcement
Beyond retrieval: enforce business rules across connected artifacts
KaryaMesh is not just a query layer. It helps enterprises apply rules across related artifacts and workflows, so teams can validate what is required, identify what is missing, and act before issues become operational, financial, or compliance problems.
Required approvalsValid versionsMandatory evidenceConsistency checksTolerance thresholdsDeadline complianceException routingRequired linkages between artifacts
From “find the information” to “verify the business condition.”
Differentiators
Why KaryaMesh is different
Not just retrieval
KaryaMesh does not stop at finding content. It understands, connects, and verifies across artifacts.
Cross-artifact intelligence
It works across multiple artifact types, not just a single format or repository.
Knowledge graph foundation
Facts, entities, approvals, and relationships are connected into a structured intelligence layer.
Plain-English interaction
Users can ask questions naturally without learning rigid query syntax.
Evidence-backed answers
Responses are grounded in linked artifacts and traceable context.
Business-rule enforcement
Rules are applied across the connected artifact landscape, not as isolated checks.
Get started
See how KaryaMesh can connect and verify your enterprise artifacts
Whether your challenge is traceability, discrepancy detection, business-rule enforcement, or cross-artifact question answering, KaryaMesh helps turn fragmented enterprise artifacts into connected intelligence.