T7 Solution designs, ships and runs production AI systems — LLM apps, RAG pipelines, voice agents, computer vision and forecasting — for enterprise teams that need outcomes, not demos.
An AI engineering company is a product-shop hybrid: part machine-learning team, part full-stack engineering team. Its job is to take a business outcome — deflection rate, cycle time, defect leak, forecast MAPE — and ship a production system that moves the metric.
That means retrieval, evals, guardrails and observability are foundational, not afterthoughts. It means the same team that trains and integrates models also owns the UI, auth, integrations and rollback paths. And it means every deployment ships with a measurement plan tied to P&L.
T7 Solution is that team. We ship LLM, voice, vision and forecasting systems for healthcare, retail, manufacturing, logistics and financial services — and we run our own products (Healthtech, ERP, POS, Studio) on the same stack.
LLMs, RAG, vector search, agents, evals and voice are our default toolkit — not a bolt-on to a generic dev shop.
Type-safe code, CI/CD, observability, evals and rollback plans on day one. We don't hand off prototypes.
Hallucination SLAs, PII handling, DPA-ready deployments and eval harnesses tied to business KPIs.
T7 Healthtech, ERP, POS and Studio run in production — the same engineering team ships client systems.
Production-grade GPT, Claude, Gemini and open-source LLMs — grounded in your data.
ExploreCustom AI chatbots trained on your data — web, WhatsApp, Slack and beyond.
ExploreHuman-sounding AI voice agents for inbound and outbound calls at scale.
ExploreExtract structured data from invoices, forms, IDs and reports with 95%+ accuracy.
ExploreProduction ML for forecasting, churn, risk and pricing — trained on your data.
ExploreCustom vision models for quality control, retail analytics, medical imaging and more.
ExploreDeflect 60%+ of tier-1 tickets without hurting CSAT.
Straight-through processing for accounts payable — from PDF to ERP.
SKU-level forecasts that release working capital, not just improve MAPE.
A copilot that drafts, researches and updates the CRM — so reps sell.
First-pass redlining in minutes, grounded in your playbook.
Turn every call into structured decisions, actions and CRM updates.
EHR, clinic management, OCR, and predictive care built by the team behind T7 Healthtech.
Hybrid POS, ERP, demand forecasting, and virtual product photography.
Production ERP, computer-vision QC, predictive maintenance, and supply-chain AI.
Route optimisation, fleet intelligence, document AI, and shipment forecasting.
AI MVPs, LLM-native SaaS, and rapid product engineering for founders.
LMS, AI tutors, adaptive learning, and student-management systems.
Contract review, e-discovery, matter management and legal-research copilots.
Claims automation, underwriting copilots, fraud detection and policyholder self-service.
Lead qualification, virtual tours, document automation and predictive pricing for real estate.
AI concierge, dynamic pricing, kitchen automation and review-response copilots.
Content generation, moderation, metadata enrichment and recommendation systems.
Predictive maintenance, load forecasting, asset inspection and safety analytics.
Yield prediction, pest detection, satellite analytics and farmer voice agents.
Citizen chatbots, grievance triage, document digitisation and predictive public-service delivery.
Network anomaly detection, customer self-service, churn prediction and fraud analytics.
Proposal copilots, knowledge management, research automation and utilisation forecasting.
Three shapes of engagement, mapped to where you are in the AI journey — from first audit to embedded delivery.
2 weeks
AI readiness audit, opportunity mapping, ROI model and a scoped pilot plan.
6–12 weeks
We design, build and deploy a production AI system to a defined KPI, with evals and observability.
Quarterly
A pod of AI engineers embedded with your team — retained capacity for building, iterating and running AI systems.
How to choose between retrieval-augmented generation and fine-tuning
LangChain vs LlamaIndex for enterprise RAG and agents
OpenAI direct vs Azure OpenAI for enterprise
Managed Pinecone vs Postgres pgvector for enterprise RAG
On-site discovery, local timezone delivery and compliance patterns tuned to each market.
Gujarat, India
Gujarat, India
Gujarat, India
An AI engineering company designs, builds, deploys and runs production AI systems — LLM apps, RAG pipelines, voice agents, computer vision, forecasting — with the software engineering rigor of a modern product team. Unlike a research lab or a staff-aug shop, we own outcomes end-to-end.
Generic agencies treat AI as a checkbox. Every T7 engagement starts from an AI-first architecture: retrieval, evals, guardrails and observability are foundational, not added later. Our team ships LLM, voice and CV systems every week.
Data-science consultancies deliver notebooks and models; MLOps shops deliver pipelines. T7 delivers full products — UI, integrations, auth, observability and iteration — with AI models as one component of a shipped system.
Every AI project is custom scoped during a free discovery call based on data readiness, integration surface, and technical complexity. We align our services to your specific business outcomes.
Most pilots go from kickoff to a measurable result in production within 4–8 weeks. Discovery is 2 weeks; build is 4–6.
Yes. We sign DPAs, NDAs and HIPAA BAAs, deploy in the client's cloud region when required, and support on-prem and air-gapped setups for regulated workloads.
Yes — most engagements are collaborative. We plug into existing data warehouses, CI/CD, IAM and observability stacks, and hand off runbooks + evals at every milestone.
Engineering is based in Ahmedabad, India with delivery leads across India, the UAE and remote. We serve enterprise clients in North America, EMEA and APAC in overlapping timezones.
Where an AI engineering partner shows up in your roadmap — with the reading to back each decision.
Deflect 60%+ of tier-1 tickets without hurting CSAT.
Straight-through processing for accounts payable — from PDF to ERP.
Most enterprises are not blocked by models — they're blocked by data, governance, and change management. Here's the audit framework we use before writing a single line of code.
Frontier models now offer million-token context. Does that kill RAG? A cost, accuracy and latency teardown from real production workloads.
How to choose between retrieval-augmented generation and fine-tuning
LangChain vs LlamaIndex for enterprise RAG and agents
Talk to a senior AI consultant from T7 about your industry, workflow, or product idea. Free, no commitment — reply within one business day.