Services – espialtech

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Build Smarter with

Full-Stack AI

Unlock growth with our full-stack AI services, delivering smart, efficient solutions from
strategy to deployment for innovative business success.

Services

End-to-End AI Services

We turn ambiguous AI ideas into production features your users trust—combining strategy,
design, engineering, and rigorous evaluation.

AI Strategy & Mapping

Identify high-ROI use cases and define a realistic, measurable AI roadmap. Our AI Strategy & Mapping process aligns technology with business goals through stakeholder discovery, KPI modeling, and data readiness assessment to ensure sustainable growth and measurable transformation outcomes.

AI UX & Product Design

Human-centered flows, prompts, and interfaces that build trust and adoption. We design intuitive AI experiences focused on transparency, usability, and engagement—helping users understand, trust, and confidently interact with intelligent systems that seamlessly integrate into their workflows for lasting impact and satisfaction.

LLM / Agent Development

Domain-specific copilots and agents that plan, execute, and report. These intelligent systems are tailored to your industry, automating complex tasks, enhancing decision-making, and delivering actionable insights—empowering teams to work smarter, faster, and with greater accuracy across every stage of operations.

Data Engineering & Pipelines

Reliable data flows from ingestion to features, built for scale and cost control. Our robust data engineering ensures clean, consistent, and efficient pipelines—enabling seamless integration, real-time analytics, and optimized performance that power scalable AI systems and sustainable business growth.

Trusted by 100+
top-tier brands

Process

From Idea
to Production

Discover & Scope

Align on problems, data reality, and success metrics. Opportunity brief, KPI model, phased roadmap, effort/cost ranges.

3-7 DAYS

01 /03

Prototype

De-risk unknowns and validate value quickly. Clickable UX, tech spike repo, initial eval rubric, demo.

1-2 WEEKS

02 /03

Validate & Evals

Prove accuracy, usability, safety, and cost. Eval dashboard, acceptance thresholds, decision to iterate/ship.

1 WEEKS

03 /03

Pricing Plans

From pilot to enterprise

clear scope, transparent costs

annually.

Starter Plan

For startups

/ year

Get Started

What’s included

Prove value in two weeks with a clickable UX, tech spike, and a clear go/no-go roadmap.

Discovery workshop
Opportunity brief
Clickable UX
1 data source & 1 integration

Enterprise Plan

For organisations

/ year

Get Started

What’s included

Compliance-ready delivery for complex orgs—multi-env releases, canaries, and change management.

Everything in Starter
CI/CD, tracing, alerts, guardrails
Full eval dashboard
3 data source & 3 integration

FAQs

Frequently
asked questions

How long does it take to get to a working v1?

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.

What do you need from us to start?

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.

Which models and stack do you use?

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

Can it run on-premise, with no cloud and no third-party inference?

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.

Are model and API costs included in the price?

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.

What happens after launch?

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.

E-mail address

info@espialinfotech.com

Phone number

+91 20-40041385

Our Location

Pune, India

Contact

Let's build
something that ships

Tell us the problem. If AI is the wrong tool for it, we will say so.

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Discover & Scope

Prototype

Validate & Evals

/ year

/ year

E-mail address

Phone number

Our Location

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