Each platform is anchored on a reusable product — configured per deployment, not custom-built. TA Rail is a portfolio of six focused railway solutions; TA Factory brings a digital backbone to process plants; TA Docs turns operational documents into governed, decision-ready knowledge; TA Edge closes the gap between "we should use AI" and "AI is part of how we run the business."
TA Rail is a focused suite of railway products covering divisional control, level-crossing safety, crew compliance, ticket authentication, in-cab guidance, and locomotive perception. Each solution is an independently deployable product that strengthens a different layer of railway operations.
A real-time, AI-powered command centre for divisional control rooms. Replaces phone calls and paper registers with a live map, predictive delay scoring, digital crew lifecycle tracking, and automated alerts — turning raw operational data into actionable intelligence.
Edge-AI safety for unmanned level crossings, purpose-built for Indian conditions. Detects vehicles, two-wheeler circumvention, pedestrians, and stray animals — triggering graduated alerts and capturing investigation-ready evidence, all on-device with no internet dependency.
A cockpit voice recorder for the locomotive cab. It records loco pilot trip communication and turns it into clear evidence of crew attentiveness and protocol compliance — built for the realities of Indian railway field work, so safety teams spend their time on judgement instead of listening.
AI-era ticket authentication built on cryptographic signatures that generative AI cannot forge, layered with physical print features and a tamper-evident audit ledger. Verifies offline in milliseconds on existing handheld terminals — no rip-and-replace required.
A safety-grade cab display that gives Loco Pilots clear, always-current guidance — live position, speed, gradients, caution orders, and approach cues. Engineered to the rigour expected of rolling-stock equipment, calibrated for fog and low-visibility operation.
An always-vigilant perception layer for the locomotive cab. Continuous track-ahead monitoring, signal and marker recognition, hazard alerting, and event recording — supporting the Loco Pilot's situational awareness without replacing their judgement.
Most plant digitalisation projects fail because they try to do everything at once. TA Factory delivers smart manufacturing in three tiers — start where you are today, prove ROI in weeks, and scale all the way to AI-assisted operations without ever re-platforming. Every artifact you build in one tier directly powers the next. Your investment compounds.
The OPC ↔ SQL engine that replaces fragile in-house scripts and per-tag historians. Bi-directional OPC UA + OPC DA, a 47-function Logic Tag library, store-and-forward zero-data-loss caching, and a visual Report Designer — all in a single-file portable configuration.
The smart-manufacturing platform that turns clean data into a complete operational picture. Plant hierarchy with QR-tagged equipment, formula-driven KPIs with RAG status, four-mode alarm engine, electronic shift book, full CMMS, tablet shopfloor log, role-based access.
An embedded AI co-pilot that lives on the plant LAN — never the cloud. Process, Predict, Prescribe: explains alarms, pre-fills forms, predicts failures hours ahead, and recommends actions ranked by your plant's own historical success rates. Plant-tuned LoRA adapter, you own it.
Three tiers. One platform. One progressive journey from raw PLC signals to AI-assisted operations. Pick the tier that matches where you are today — the next one is already designed to receive everything you build.
Turns document-heavy operations — SOPs, circulars, crew orders, maintenance manuals, compliance records — into searchable, governed, decision-ready knowledge using AI classification, metadata enrichment and retrieval.
Cloud or on-premises. Air-gapped option available for regulated environments. Scales with corpus volume.
Semantic search with citations, classification pipelines, workflow-driven approvals.
Most enterprises don't have an AI problem. They have an adoption problem — too many tools, too many vendors, too many proofs-of-concept that never reached production. TA Edge closes the gap between "we should use AI" and "AI is part of how we run the business." We work alongside your teams to identify where AI genuinely belongs, deploy what fits, and evolve as the landscape changes. Cloud, on-premise or fully air-gapped — your data residency drives the architecture, not the other way around.
Bring relevant data, business rules and judgement together so the people closest to the work can decide faster and more consistently. Credit reviews, vendor onboarding, claims triage, exception handling, pricing approvals — wherever a human currently reads, cross-references and decides, there is usually room to make the work less repetitive without removing the judgement.
Reconciliations, document extraction, ticket routing, compliance checks, internal Q&A, report generation. We focus on the workflows with measurable hours-saved — not the ones with the best demo. Some produce 80% time savings. Some 20%. A few aren't worth automating at all. We help you tell which is which — before budget, not after.
Policies, contracts, SOPs, technical manuals, historical decisions, prior tickets — the institutional memory that lives in PDFs, shared drives, and people's heads. We make it searchable, citable, and usable inside the workflows that need it. Retrieval-grounded answers with citations back to the source. Private deployment available for regulated content.
We won't promise transformation. We'll promise honest scoping, measurable outcomes on the workflows we agree to start with, and a clear view of what's working and what isn't. Start small, prove value, expand.
Tell us the operational question you're working on and the context it lives in — we'll tell you honestly which of our platforms fits, which doesn't, and what a meaningful first deployment looks like.