Key Drivers for Coforge Meridian
As enterprises scale AI into customer-facing and mission-critical workflows, the risk profile changes. It’s no longer enough for outputs to be well-formed or statistically accurate. Leaders need to know whether they are business-correct in the real world.
The validation gap shows up as:
Accuracy ≠ trust
High test accuracy can still lead to real-world errors and costly decisions.
Format checks don’t verify truth
Schema compliance doesn't confirm alignment with ground truth.
Human review doesn’t scale
Output volume grows exponentially; verification capacity does not.
Ground truth is fragmented
Databases, documents, APIs, images, and free text sit in silos.
Review time is wasted on evidence gathering
Teams spend significant time finding proof, not validating outcomes.
Binary pass/fail isn’t actionable
Without prioritization signals, reviewers can’t focus where risk is highest.
Limited auditability
Many approaches cannot explain why an output is trusted.
Accuracy ≠ trust
High test accuracy can still lead to real-world errors and costly decisions.
Format checks don’t verify truth
Schema compliance doesn't confirm alignment with ground truth.
Human review doesn’t scale
Output volume grows exponentially; verification capacity does not.
Ground truth is fragmented
Databases, documents, APIs, images, and free text sit in silos.
Review time is wasted on evidence gathering
Teams spend significant time finding proof, not validating outcomes.
Binary pass/fail isn’t actionable
Without prioritization signals, reviewers can’t focus where risk is highest.
Limited auditability
Many approaches cannot explain why an output is trusted.
Coforge Meridian Service Offerings
Meridian is an independent control layer that sits between AI outputs and business action. It verifies outputs against live ground truth, not just training labels, so organizations can deploy AI with confidence.
It is designed to operate across models, clouds, and domains, and to return decisions that are easy for executives, risk teams, and operators to act on.
- Verify against enterprise evidence: Databases, documents, APIs, images, and unstructured text.
- Stay flexible: Model-agnostic and cloud-agnostic deployment options.
- Make validation actionable: Confidence scores, explainability, and auditability by design.
Built with an agentic and multimodal approach, Meridian can run within your security perimeter to support enterprise governance and compliance requirements.
Meridian’s core capabilities are designed to reduce risk, reduce manual effort, and accelerate time-to-value.
Core capabilities
Validate
Cross-check outputs against ground truth across databases, documents, APIs, images, and free text.
Validate at the attribute level so teams can pinpoint what’s correct and what needs review.
Return explainable results: status, error classification, reasoning, and a confidence score.
Create an audit-ready trail for governance, compliance, and continuous improvement.
Enrich
Complete missing attributes using multimodal AI (text + image) when source data is incomplete.
Attach confidence to each proposed value so teams can focus human effort where it matters.
Human-in-the-loop by design: enrichments are staged for review—never auto-written into systems of record.
Categorize
Auto-classify entities using modern NLP and semantic similarity techniques.
Improve consistency across catalogs, knowledge bases, and operational data.
Start fast: bootstrap with minimal manual labeling.
Validate
Cross-check outputs against ground truth across databases, documents, APIs, images, and free text.
Validate at the attribute level so teams can pinpoint what’s correct and what needs review.
Return explainable results: status, error classification, reasoning, and a confidence score.
Create an audit-ready trail for governance, compliance, and continuous improvement.
Enrich
Complete missing attributes using multimodal AI (text + image) when source data is incomplete.
Attach confidence to each proposed value so teams can focus human effort where it matters.
Human-in-the-loop by design: enrichments are staged for review—never auto-written into systems of record.
Categorize
Auto-classify entities using modern NLP and semantic similarity techniques.
Improve consistency across catalogs, knowledge bases, and operational data.
Start fast: bootstrap with minimal manual labeling.
Where Coforge Meridian Fits in
- Designed for high-volume environments where AI outputs must be verified before action
- Supports AI output validation for multiple model types and pipelines in parallel.
- Helps teams increase automation while maintaining explainability and control.
Banking & Financial Services
Travel, Transportation & Hospitality
Insurance
Healthcare & Life Sciences
Banking & Financial Services
Travel, Transportation & Hospitality
Insurance
Healthcare & Life Sciences
Technology and Ecosystem Partnerships
