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AI-Powered · Production-Led · Outcome-Driven

SANIDHYAM AI LABS

We build AI that survives production.

Production AI engineering for B2B teams - agents, RAG, and workflow automation with weekly delivery, written scope, and honest go/no-go. Commercials stay private until the engagement is real.

  • Weekly staging

    A build you can test every week

  • Written scope

    Fixed before production code

  • Code ownership

    You keep the repository

  • Honest go/no-go

    We decline AI that will not pay off

Capabilities

Build intelligent software that reaches production

Fixed-scope AI delivery with weekly staging demos, written architecture, and honest go/no-go before you scale spend.

8-12 weeks

Autonomous AI Agents

Multi-step planning, database execution, and agentic workflows that clear production gates.

Fixed-scope delivery

  • Tool calling with allowlists
  • Human-in-the-loop approval paths
  • Stateful workflow orchestration
  • Eval harness before go-live
Service details
6-10 weeks

Enterprise RAG Systems

Secure retrieval-augmented generation grounded in proprietary company data.

Fixed-scope delivery

  • Citation-backed answers
  • Access-controlled corpora
  • Chunking and embedding pipelines
  • Retrieval quality evals
Service details
4-8 weeks

Support & Sales AI Chatbots

CRM and helpdesk-integrated chatbots for real-time customer and internal operations.

Fixed-scope delivery

  • CRM and helpdesk connectors
  • Escalation to human agents
  • Knowledge-grounded replies
  • Conversation analytics
Service details
6-14 weeks

AI SaaS MVP & Copilot Engineering

End-to-end prototype development with auth, subscriptions, and LLM integrations.

Scoped after discovery

  • Auth and tenancy foundations
  • Subscription billing hooks
  • LLM provider abstraction
  • Staging demos every week
Service details

Prefer a monthly delivery cadence? Talk through a partnership model.

Industries

Engineering every industry's AI future

Domain-aware production AI for regulated and high-volume sectors - with compliance and integration constraints designed in from day one.

View all industries

Healthcare

HIPAA-aware intake, ops automation, and secure clinical knowledge search.

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SaaS & Enterprise

Product copilots, internal RAG, and AI features that clear enterprise security review.

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Retail & Commerce

Support deflection, inventory-aware assistants, and store operations AI.

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Legal & Professional

Citation-backed research portals and document workflows with audit trails.

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Logistics

Dispatch automation, exception agents, and ops copilots for high-volume fleets.

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Automotive

Dealer trust platforms, review moderation, and marketplace workflows.

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Trusted technology partners across the stack

We ship with proven AI, cloud, and product tooling - the same classes of systems enterprise buyers already trust - selected for reliability, eval coverage, and clear ownership in production.

Model providers, orchestration, retrieval, and ML frameworks for agents and copilots.

  • OpenAI
  • Anthropic
  • Google Gemini
  • Meta
  • Ollama
  • Perplexity
  • LangChain
  • Hugging Face
  • Vercel AI SDK
  • PyTorch
  • TensorFlow
  • NumPy
  • Pandas
  • Jupyter
  • Milvus

Shipped work

Outcomes from systems in production

DealerVoice, Livehandbook, and Counterly POS. These figures come from those builds. Industry reference architectures stay labeled as scenarios, not client results.

Automotive · AI Chatbots

3,000+

AI-moderated reviews

DealerVoice

8 weeks to production. 3,000+ AI-moderated reviews. About 3 hours saved daily across 35+ users.

View project

SaaS · RAG Systems

80%

Tier-1 deflection

Livehandbook

12 weeks. 80% tier-1 deflection. 3-4 hours returned to the support team every week.

View project

Retail · AI SaaS MVPs

POS + Admin · iPad

Apps

Counterly POS

POS + Admin 2.0 on iPad. Compliance simplified. Checkout amplified. Free trial at counterlypos.com/start. Built by Sanidhyam AI Labs, Ahmedabad.

View project

Process

Build software the way modern teams need it

An iterative path from discovery to production - each stage informs the next.

  1. 01

    Discover

    Map the business problem, data constraints, success metrics, and rejected alternatives.

  2. 02

    Design

    Architecture, security gates, and written scope before a single production dependency.

  3. 03

    Build

    Ship on staging every week so stakeholders validate with real workflows.

  4. 04

    Scale

    Harden evals, monitoring, and access controls as usage and risk grow.

  5. 05

    Optimize

    Production launch with documentation, handoff, and an honest go/no-go on next spend.

Why Sanidhyam

A different way to build production AI

Eight commitments that shape every engagement - from the first scoping call to years of partnership.

  1. 01

    Engineering-first mindset

    We ship systems operators can trust - not demos that stall after the pitch.

  2. 02

    Written scope

    Clear deliverables, constraints, and success criteria before build starts.

  3. 03

    AI-native delivery

    Agents, RAG, and automation designed for your data and compliance reality.

  4. 04

    Outcome-driven

    Every engagement answers save time, reduce cost, or increase revenue.

  5. 05

    Security-first

    Least privilege, audited actions, and no silent credential exposure.

  6. 06

    Weekly visibility

    Staging demos every week - stakeholders never wait for a surprise launch.

  7. 07

    Future-ready architecture

    Composable services that survive model changes and vendor churn.

  8. 08

    Honest go/no-go

    We say when AI is not the right investment yet.

Next step

Tell us what you need to ship.

Thirty minutes. We assess fit, recommend an approach, and say when AI is not the right investment yet. Commercials stay private until the engagement is real.

Or book directly

Prefer email? info@sanidhyamailabs.com

Engagement stage