Good AI looks effortless. That is because all the difficulty was absorbed before it ever reached the user.
Author
Founder, Espial Infotech
AI-Native Product Engineering
We build AI
that survives production
From discovery to on-site deployment, we design, build and operate
intelligent systems - agents, vision, edge and voice - that work on day one and keep working at scale.
About Us
Research-led AI,
built for production
built for production
20+ AI systems shipped across manufacturing, energy,
retail and the public sector - and two AI SaaS products of our own.
retail and the public sector - and two AI SaaS products of our own.
Trustpilot
20+
Services
end-to-end
AI engineering
AI engineering
We take ambiguous AI ideas and turn them into systems your users, your operators and your auditors can all trust - strategy, data, models, deployment and the evaluation loop that keeps it honest.
LLM &
AI Agent Development
AI Agent Development
(01)
Domain agents that plan, use tools, act - and know when to stop and ask a human.
Computer Vision
& Edge AI
& Edge AI
(02)
Inspection, safety and detection systems that run on the line, on-device, in real time.
Data Engineering
& RAG Platforms
& RAG Platforms
(03)
Retrieval and data pipelines that stay fresh, cited and cheap enough to run forever.
AI SaaS
Product Engineering
Product Engineering
(04)
Zero to launched product. We have done it for clients - and for ourselves, twice.
Process
From idea
to production
to production
Benefits
Why Choose Us
Accuracy
Latency
Safety
Cost
Outcome over Output
We measure what a business actually feels — accuracy,
latency, safety and cost. If a sprint does not move one of those, it was not worth shipping.
Eval-First Reliability
Evaluations, canary tests and tracing from day one. You see how the model performs and, more importantly, why — before your customers do.
Secure by Design
PII handling, RBAC, encryption, self-hosted inference and audit trails built in from the first commit. Several of our systems run fully on-premise with no internet at all.
We deploy on site
Our engineers show up. Cameras, lighting, sensors, conveyors, PLCs, edge boxes — we calibrate the physical world, not just the code.
Features
Everything in one team
Agent-Powered Workflows
Turn repetitive work into autonomous flows. Agents plan, execute and report — with guardrails, full traces and a clean handoff to a human when confidence drops.
Eval-First Quality
Accuracy, latency, safety and cost measured from day one. Our eval dashboards keep models reliable and budgets predictable.
Private Knowledge RAG
Your docs, tickets and wikis made instantly useful — with freshness, citations and explainability. If there is no source, the system does not answer.
Vision on the edge
Quantisation, pruning, distillation and TensorRT compilation to get heavy models onto a Jetson or an industrial PC — typically 6× smaller at 90% accuracy retention.
Self-hosted and on-premise
Whisper, Llama, Mistral and open vision models running inside your boundary. Zero third-party inference dependency when compliance demands it.
Seamless integrations
CRM, helpdesk, ERP, PLC and data warehouse. We plug into the stack you already have and turn insight into action inside it.
Tools
We work with a serious AI stack
PyTorch, ONNX and TensorRT for the edge. Claude,GPT and open-widget Llama/Mistral for language. YOLO,OpenCV and InsightFace for vision. LangGraph and MCP for orchestration. FastAPI,PostgreSQL,pgvector, Redis and Kafka underneath - with OpenTelemetry so you can see what every run actually did.
Get Started
Engagement Models
From pilot to enterprise.
clear scope,
transparent cost.
clear scope,
transparent cost.
Pilot Sprint
Teams validating a first AI use case
from $X,XXX · 4-6 weeks
What’s included
Prove the value before you commit the budget. You end with a working prototype, an evaluation rubric, and a clear go/no- roadmap.
- Discovery workshop
- Opportunity brief and KPI model
- Working prototype
- Eval rubric and baseline
- 1 data source, 1 integration
- Go/no-go roadmap
Production Engagement
Organisations putting AI into the business
Custom
What’s included
Full delivery - build, deploy, calibrate and operate. Multi-environment releases, on-site deployment and one accountable support loop.
- Everything in Pilot
- Production build and integration
- On-site deployment and hardware calibration
- CI/CD, tracing, alerts, guardrails
- Full eval dashboard
- Multiple data sources and integration
- Ongoing monitoring and tuning
FAQs
Frequently
asked questions
asked questions
A focused pilot reaches a working, testable v1 in four to six weeks. A production system - with on-site deployment and integration-typically runs eight to twelve weeks depending on hardware, data access and how many systems it has to talk to. We tell you which one you are in during discovery, not after.
A clear problem statement, a definition of success, access to sample data, and one stakeholder who can make decisions. That is genuinely it. We run a kickoff workshop to pin down scope and the KPI model before anyone writes code.
Whichever ones wins on accuracy, latency and cost for your problem. In practice: Claude and GPT for reasoning and generation; Llama and Mistral when it has to be self-hosted; YOLO, OpenCV and InsightFace for vision; PyTorch, ONNX and TensorRT for anything on the edge. We are not loyal to a vendor. We are loyal to the benchmark
Yes, and several of our systems do. We have shipped fully on-premise vision analytics that runs a single executable with no internet connection, and self-hosted voice assistants where every inference endpoint stays inside the customer VM. If compliance rules out third-party APIs, we design for that from the start.
Development is included in the project price. Model and API usage is billed at cost, based on your actual volume. We estimate it up front and then work to bring it down - compression, caching and smaller models where a smaller model is enough.
Monitoring, tuning and one support loop that runs from the engineers who built it. AI system drift-data changes, storefronts change, We watch for it and we fix it.
Contact
Let’s build
something that ships
something that ships
E-mail address
info@espialsolutions.com
Phone number
+91 20-40041385