Unstructured data.
Enterprise intelligence.
Owned outright.
Custom enterprise AI systems. Built on production accelerators. Owned outright, deployed in a quarter.
Every engagement starts with an architecture that has already been through enterprise procurement — and ends with a system your team owns outright, deployed inside your perimeter.
Enterprise AI adoption is universal.
Enterprise AI value is still rare.
88% of enterprises now use AI somewhere. 72% use GenAI. The adoption question has answered itself.
What we see in the conversations we walk into now is different. Over 80% of enterprises report no measurable EBIT impact from GenAI. 42% abandoned most of their 2025 AI initiatives — up from 17% the year before. The buyers we meet have shipped two or three AI pilots and have nothing on the P&L to show for it.
TerraEdge works in the gap between AI that works in a demo and AI that moves a number on the P&L.
One framework. Four data types.
Structured outcomes.
The TerraEdge AI Framework is a proprietary multimodal pipeline. Complex PDFs, scanned tables, engineering drawings, invoices, voice recordings, CCTV footage, streaming feeds — all flow through one architecture and emerge as structured, queryable intelligence.
No stitched-together vendors. No black-box models. No surprise bills when you scale.
Deep-dive the frameworkBuilt like a product. Adapted like a service.
TerraEdge is a custom enterprise AI systems company. Every engagement delivers a bespoke AI system — adapted from a proven accelerator, integrated with your stack, and owned outright by your enterprise. This is the third category enterprise buyers keep asking for and rarely find.
Their product. Your workflow forced to fit.
- Multi-tenant. Your data leaves your perimeter.
- Rigid features. You adapt to the tool.
- Rented — never owned. Seat-based pricing.
- Integration is an afterthought.
Blank page. Slideware. Twelve to eighteen months.
- Starts from zero every engagement.
- Roadmaps, not running systems.
- No reusable IP — the next client rebuilds it.
- ROI is theoretical until year two.
Proven accelerator, adapted. Delivered as a system you own.
- Single-tenant. Deployed inside your perimeter.
- Custom-fit to your data, workflow, and regulators.
- 4–12 week POC. Production in weeks, not years.
- Models, weights, pipelines, code — yours outright.
A systems company
built on accelerators.
Owned, Not Rented
No open-source contamination. No third-party model risk. Every deployment is a ring-fenced, IP-clean AI system the enterprise owns end-to-end — compliant with DPDP, GDPR, SOC 2.
Multimodal by Design
One framework, four data types: documents, voice, video, and streaming. Most vendors bolt these together. TerraEdge ingests through a single proprietary pipeline and emits one structured output.
POC to Production, in Weeks
A 4–12 week POC with defined KPIs. If it clears, it scales — same framework, same team, same architecture. No re-platforming between pilot and production.
Outcomes on a Dashboard
95%+ extraction accuracy. 40–50% cost reduction. 7,000 → 20,000+ documents per day. 60% less rework. These are client metrics, not marketing copy.
Five pillars. One owned framework.
Document Intelligence
Unstructured documents → structured, auditable data.
OCR/ICR, classification, invoice and receipt extraction, ID verification, contract and claim intelligence. Built for BFSI, legal, government, insurance, and back-office automation.
Voice & Audio Intelligence
Calls → compliance, sentiment, fraud signals.
19-language voice-to-text, deepfake and fraud call detection, emotion/tone analysis, conversational AI, call-centre QA. Deployed by law enforcement for fraud voice identification.
Visual Intelligence
Pixels → pattern, behavior, and object insight.
Computer vision, deepfake forensics, product quality inspection, retail shelf analytics, topographic feature extraction, thermal imaging clarity.
Predictive & Prescriptive Analytics
Historical + real-time data → forward decisions.
Risk scoring, anti-money-laundering signals, demand and churn prediction, recommendation engines, agentic reporting over unstructured sources.
Custom LLM Systems
Lightweight, domain-specific, fully private.
Objective-specific LLMs trained on enterprise corpora — deployed on private infrastructure, without open-source model weights in the pipeline.
Capability lists, accelerators, and case studies for each pillar — all running on the same proprietary framework.
Proof, not promises.
What enterprises actually get.
US County Deed Parser
From 70–80% accuracy to 95%+ across 240 counties.
BDO Indian Customs Document Intelligence
99% extraction efficiency on complex customs forms.
Aircraft Maintenance Intelligence (Lightweight LLM)
50% faster technical issue detection on a private LLM.
A POC in 4 weeks. A production system in a quarter.
Outcomes on a contract.
The fastest path from AI idea to measurable ROI. Fixed price. Signed KPIs. Conversion credit when you scale.
Discover
Walk in with a hunch. Walk out with a sized ROI model, an architecture your CTO will sign, and a POC scope your CFO can approve.
Prove
Validated business case on real data, against signed KPIs. Fixed-fee. Either it clears your numbers — or you keep the architecture blueprint and walk away.
Scale
Production system in your perimeter. Deployed models, APIs, dashboards, and ML Ops — handed over to your team to own.
Operate
Managed services with drift detection, retraining, and performance SLAs. Pay against the metric you care about, not against headcount or hours.
Pricing options: Fixed-price · Outcome-based · Managed retainer · PaaS · Staff augmentation
See all engagement modelsTrusted where the stakes are highest.
The team behind every deployment.
Applied R&D, production engineering, and domain leadership — the three disciplines that turn a proven accelerator into a system your enterprise owns.
Seven leaders. 150+ combined years across enterprise tech, telecom, BFSI, and AI research. Most have shipped global managed services programs before — and know what enterprise AI must look like to survive a procurement review.
Meet the teamThe questions procurement always asks.
The six questions every enterprise buyer brings to a custom-AI engagement. Here are the honest answers.
What does a typical TerraEdge engagement cost?
Who owns the AI you build with us?
What happens if the POC doesn't clear KPIs?
Can the system run inside our perimeter — on-prem or air-gapped?
Not ready for AI yet? Want to chat about possibilities?
No pitch, no pressure. Just a conversation about where AI could fit, or where it can wait. Bring your skepticism — we'll bring ours.
Scope a POC this quarter.
A 4-week POC, a fixed scope, defined KPIs. If it clears, we scale it. If it doesn't, you walk away with a validated architecture and no vendor lock-in.