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SANIDHYAMAI LABS

AI that ships. Systems that scale.

Ship AI That Works - Not Demos That Stall

Sanidhyam AI Labs designs, builds, and deploys production-grade AI systems - autonomous agents, RAG pipelines, intelligent chatbots, and workflow automation - for startups, SaaS companies, and enterprises worldwide.

Remote-first · Weekly progress reports · Defined ROI metrics · GDPR & HIPAA-aware

The Problem

Most AI Projects Die Between the Demo and Production

Your team has seen the ChatGPT demos. Maybe you've even built a prototype. But when it's time to connect real data, handle edge cases, control costs, and pass a security review - the project stalls.

Meanwhile, competitors are shipping AI features. Your board is asking questions. Your operations team is still copying data between spreadsheets.

You don't need another slide deck. You need engineers who ship.

What We Build

Six Ways We Turn AI Into Business Infrastructure

Production systems across agents, retrieval, chatbots, automation, and SaaS - scoped to your stage and stack.

01

AI Agents

8-12 weeks · $30,000 - $75,000

Autonomous systems that plan, reason, and execute multi-step workflows - from lead qualification to document processing.

Learn more about ai agents

02

RAG Systems

6-10 weeks · $25,000 - $60,000

Retrieval-augmented generation grounded in your proprietary knowledge - accurate answers, not hallucinations.

Learn more about rag systems

03

AI SaaS MVPs

10-16 weeks · $40,000 - $120,000

Full product builds for founders validating AI SaaS - auth, core AI feature, admin, and production deploy.

Learn more about ai saas mvps

Why Sanidhyam

Built on Principles That Protect Your Investment

Ship Over Slide

Every sprint ends with deployable code on production-like infrastructure. Done means client-validated in staging.

Clarity Before Code

We understand your business problem before choosing the model. Every decision includes rejected alternatives.

Honest Scoping

We say no to unrealistic timelines and AI that doesn't fit. When simpler works, we tell you.

Security by Default

Secrets never in repos. Least-privilege access. GDPR and HIPAA-adjacent awareness baked in.

Transparent Partnership

Weekly status reports. Shared channels. Blockers surfaced early. Documentation for self-sufficiency.

Relentless Improvement

Post-mortems on every project. Reusable components. Every engagement makes the next one faster.

Read our full story →

Who We Serve

AI Engineering Across Industries and Growth Stages

From Series A SaaS founders racing to ship an AI copilot, to healthcare networks automating patient intake - we match the right architecture to your domain constraints.

SaaSHealthcareLegalFinanceLogisticsAgenciesSMB Operations

Results

Measurable Outcomes, Not Vanity Metrics

8-12 weeks

Average time to production

40%+

Reduction in manual processing

6 regions

Global client delivery

$1M+

Year 1 revenue target

“Sanidhyam didn't just build us a chatbot - they built a system our ops team actually uses every day. Weekly updates, no surprises, and it was in production before our competitor announced their feature.”

- VP Engineering, B2B SaaS (Series B)

How We Work

From Discovery to Production in Four Phases

  1. 1

    Discovery & Scoping

    Map your problem, success metrics, data landscape, and constraints. Receive a fixed-price proposal.

  2. 2

    Architecture & Design

    Design the system - models, pipelines, integrations, security - with sign-off before production code.

  3. 3

    Build & Iterate

    Two-week sprints with deployable increments. Weekly standups and staging environments you can test.

  4. 4

    Launch & Handover

    Production deployment, monitoring, documentation, and knowledge transfer. Optional retainer.

Engagement Models

Flexible Engagements for Every Stage

Fixed-scope projects from $10K. Monthly retainers from $5K/mo. SaaS MVP builds from $40K. Every engagement starts with defined success metrics.

View Pricing

Ready to Ship AI That Delivers ROI?

Book a 30-minute discovery call. We'll assess your use case, recommend an approach, and give you an honest estimate - even if AI isn't the right fit yet.