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Case Studies

Real deployments. Real outcomes.

Across retail, insurance, legal, healthcare, agriculture, pharma, and logistics, FEME agents and models deliver measurable impact in production — not pilots that never ship.

Retail
60%

lower support cost

National retail group

Agentic orchestrationRAG knowledge baseCRM & ticketing connectorsSentiment analysis

Cutting customer support cost by 60%

A national retailer deployed FEME customer-service agents across chat and voice, automating tier-1 support and freeing human agents for complex cases.

Challenge

Seasonal volume spikes and fragmented chat, voice, and email channels drove up cost-to-serve while response times slipped during peak demand.

Approach

An omnichannel agent integrated with the CRM and ticketing stack, grounded in the knowledge base via RAG, with sentiment-aware routing and seamless live-agent handoff.

Results

  • Deflected 72% of tier-1 tickets
  • 3× faster average handle time
  • Maintained 4.6/5 customer satisfaction
  • 24×7 coverage across chat & voice
Insurance
35%

lower fraud losses

Multi-line insurer

Anomaly detectionGraph network analysisBehavioral analyticsReal-time scoring

Reducing fraud losses by 35%

A multi-line insurer used FEME fraud detection to score every claim in real time, surfacing organized-fraud networks investigators had been missing.

Challenge

Organized fraud rings were slipping past manual review, while genuine policyholders waited on slow, blanket investigations.

Approach

Real-time risk scoring on every claim with behavioral anomaly detection and graph-based network analysis, surfaced to investigators through a prioritized workbench.

Results

  • Real-time risk scoring on 100% of claims
  • Uncovered 4 organized fraud rings
  • Sped legitimate payouts by 40%
  • <1s risk score per claim
Legal
85%

faster review

Corporate legal team

Multi-agent orchestrationRAG with citationsClause & risk analysis

Reducing contract review time by 85%

A corporate legal team automated first-pass contract review with FEME, flagging risk clauses and missing terms with citations before counsel review.

Challenge

A growing contract backlog and rising outside-counsel spend left in-house counsel reviewing routine agreements line by line.

Approach

A multi-agent legal orchestrator routes each contract across research, drafting, clause-analysis, compliance, and risk agents — returning cited, explainable first-pass redlines.

Results

  • First-pass review in minutes, not days
  • 100% clause coverage on every contract
  • Lowered outside-counsel spend by 40%
  • Citations on every flagged clause
Healthcare
5-class

clinical DR grading

Eye-care network

PyTorchEfficientNet-B3Grad-CAMOrdinal classification

Diabetic-retinopathy screening at the point of care

A custom vision model brings specialist-grade diabetic-retinopathy screening to frontline clinics, grading fundus images on the clinical 0–4 scale with explainable heatmaps.

Challenge

A shortage of ophthalmologists meant referable diabetic retinopathy was being caught late in high-volume, underserved clinics.

Approach

An EfficientNet-B3 model grades retinal images across all five clinical stages, optimized for Quadratic Weighted Kappa and sensitivity, with Grad-CAM overlays so clinicians see exactly where the model is looking.

Results

  • Full 0–4 ordinal grading aligned to the clinical scale
  • Grad-CAM explainability on every read
  • Tuned for sensitivity to minimize missed cases
  • Runs on commodity CPU hardware
Agriculture
<5%

hallucination rate

Agri-advisory platform

RAGFAISS / sentence-transformersCNN visionNASA GIBS & POWER

A grounded AI advisor that won’t hallucinate

A retrieval-grounded agronomy advisor answers farmer questions with cited guidance, fusing live weather, satellite imagery, and plant-disease vision — and runs even offline.

Challenge

Generic chatbots gave confident but wrong agronomy advice, with no citations and no support for regional languages or low-connectivity field conditions.

Approach

A RAG pipeline (embeddings → vector store → re-ranking → grounded generation) answers only from a curated knowledge base with citations, fused with NASA satellite NDVI, live weather, and CNN plant-disease vision — multilingual and offline-first by default.

Results

  • ≥95% context faithfulness, <5% hallucination
  • ≤3s response latency (RAGAS-style eval)
  • Plant-disease & pest vision (PlantVillage / IP102)
  • Runs fully offline with no API keys
Pharma
50%

faster audit prep

Life-sciences manufacturer

RAG with version pinningAudit loggingCompliance guardrails

Audit-ready answers across thousands of SOPs

A conversational GxP service desk answers SOP and compliance questions with version-pinned citations and a complete audit trail — built for regulated environments.

Challenge

SOP sprawl across quality systems made it slow and risky to confirm the current, correct procedure — and audit preparation consumed weeks of specialist time.

Approach

A compliance agent retrieves only from version-pinned source documents, cites the exact controlled version, validates SOPs, flags deviations, and logs every interaction to an immutable audit trail.

Results

  • Version-pinned citation on every answer
  • Automated deviation detection & CAPA drafting
  • Complete, exportable audit trail
  • 50% faster audit preparation
Logistics
15%

lower logistics spend

Freight & supply-chain operator

Anomaly detectionGPS & route analysisInvoice validationVendor verification

Catching shipment & invoice fraud automatically

A logistics-integrity agent monitors shipments and invoices, automatically flagging GPS anomalies, duplicate claims, and vendor fraud across a multi-party supply chain.

Challenge

Invoice and route fraud were hard to spot across thousands of shipments and vendors, with limited visibility and manual spot-checks missing duplicate claims.

Approach

Continuous monitoring analyzes GPS and route data, cross-checks invoices for duplicates and arithmetic errors, and verifies vendors — raising exception alerts only on genuine anomalies.

Results

  • Automated anomaly alerts across all routes
  • Caught duplicate-claim fraud at scale
  • Vendor verification on every invoice
  • Reduced logistics spend by 15%
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Enterprise Customers

0+

AI Experts

$0M+

Annual Revenue

India + USA

Global Hubs

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