AI-NATIVE SYSTEMS ENGINEERING

The AI development company for agents, RAG and voice built to run in production.

JarvisBitz is an AI development company for the age of AI agents. We build the whole system end to end: deep agents, RAG pipelines, the code that runs them, and the web, mobile and cloud software around them.

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How We Engineer AI

Our Reference Architecture

Five layers sit behind each AI system we ship. Together they form one platform, from the screen your users see to the servers underneath, and every request is traced through all of them.

  • AGENT-NATIVE
  • MCP-FIRST
  • EVAL-GATED
  • HUMAN-IN-THE-LOOP
L1

EXPERIENCE

Where people and systems meet the AI: web, mobile, voice and APIs

  • Web
  • Mobile
  • Desktop
  • Voice & Realtime
  • APIs · A2A
  • Embedded UI
EXPLORE
L2

AGENT RUNTIME

Deep agents that plan, hand off work, act and recover

  • Supervisor
  • Planner · Executor
  • Subagent Fleet
  • Agentic Loop
  • Task Graphs
  • Human-in-the-Loop
EXPLORE
L3

CONTEXT & INTELLIGENCE

The right model with the right knowledge, every call

  • Model Gateway
  • Multi-Model Router
  • Persistent Memory
  • RAG Pipeline
  • Knowledge Graph
  • Context Engineering
EXPLORE
L4

TOOLS & INTEGRATION

Safe hands into your stack, built on MCP and ready for large firms

  • MCP Servers
  • Tool Registry
  • A2A Interop
  • Enterprise Systems
  • Data Platforms
  • Automation
EXPLORE
L5

TRUST & OPERATIONS

Guardrails, tests and tracing, because the live system is the product

  • Guardrails · Policy
  • Evals
  • Observability
  • Cost Controls
  • Security & Identity
  • Cloud & DevOps
EXPLORE
Our engineering practice

Six disciplines, one team

Each project draws on these six skills. We run them like live systems, not slide decks.

Control planeLive module

Voice Intelligence

Voice agents that answer, act, and close the loop, not just transcribe. We build speech-to-speech systems on realtime models with full-duplex turn taking, barge-in safety, and sub-second latency. They wire into your phone lines, apps, and support desk.

Signal stack
  • Speech-to-speech
  • Full-duplex
  • Sub-second latency
Route · Voice · realtime speech loop
Explore voice intelligence
System Modules

System Atlas

Every AI capability, service, and blueprint we offer, in one map

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LLMs

FoundationAI Intelligence

GPT, Claude, Gemini and Llama, put to work at scale with the right context.

Open route
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RAG

RetrievalAI Intelligence

Answers grounded in your data, with sources your team can check.

Open route
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Agents

AutonomousAI Intelligence

Agents that plan, use tools and carry out many steps on their own.

Open route
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Voice AI

SpeechAI Intelligence

Live speech in and out. Talk to your systems and hear them answer.

Open route
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Vision

PerceptionAI Intelligence

Find, sort and outline what is in an image or video, in real time.

Open route
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Fine-tune

TrainingAI Intelligence

LoRA, RLHF and domain tuning to make a base model yours.

Open route
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Multimodal

FusionAI Intelligence

Text, image, audio and video understood together in one pipeline.

Open route
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Capabilities

OverviewProduct & Proof

The full AI map: every skill and every connector in one view.

Open route
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Services

EngineeringProduct & Proof

Web, mobile, SaaS, cloud and automation: the software around the AI.

Open route
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Demos

InteractiveProduct & Proof

Live AI you can try right now. No sign up, no wait.

Open route
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Scenarios

Use CasesProduct & Proof

Real problems from health care, finance, retail and shipping.

Open route
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Different

EdgeProduct & Proof

Architecture first. Judgement over blind automation. Why teams pick us.

Open route
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Talk AI

VoiceGet Started

Talk to our AI architect. Describe your need and get a blueprint back.

Open route
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AI Audit

FreeGet Started

Free AI audit for your business. Enter your domain and get a plan.

Open route
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Integrate

ConnectGet Started

APIs, data sources and older systems, all connected.

Open route
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Agentic

WorkflowsSystem Patterns

Workflows that run on their own, agents that work as a team, pipelines that fix themselves.

Open route
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Architecture

ReferenceSystem Patterns

The reference design: layers, modules, data flows and how it is deployed.

Open route
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Blueprint

PipelineSystem Patterns

Ingest, chunk, embed, index, retrieve, generate. The full RAG pipeline.

Open route

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Domain Expertise

Industry Solutions We Deliver

We design AI systems around the limits of your field: the rules you must follow, your data formats, how fast answers must come, and the words your people use.

Data Flow Architecture
Data flow

Turn messy files and notes into answers your team can act on.

Knowledge & Process Intelligence

Knowledge systems built on RAG that read your documents, take over long manual workflows, and give the whole company one smart search box.

Core Components

RAG Knowledge BaseDocument Q&AWorkflow AgentsSemantic Search
Explore architecture

Prefer to talk it through? Ask the AI Architect →

Performance Metrics

Query response time~800ms
Retrieval accuracy95%+
Documents indexed100K+
Benchmarks from systems we've delivered. Your architecture is tailored to your data volume, latency, and compliance requirements. See reference architecture →

Don't see your industry?

We shape every project around your field.

Describe your challenge →
Before you ask

Five questions, answered plainly

The things people want to know before they talk to us. Short answers here, the full detail one click away.

What does JarvisBitz Tech do?
JarvisBitz Tech is an AI and software engineering company. We design and build production AI systems: AI agents, retrieval augmented generation (RAG) pipelines, voice AI and enterprise integrations, plus the web, mobile, SaaS and cloud software around them. The company was founded in 2018 and is based in Ahmedabad, India, working with clients worldwide with a strong focus on the United States. See all capabilities
Is JarvisBitz a consultancy or an engineering team?
An engineering team. We write the code, run the evaluations and ship the system into production. Advice comes with it, but the deliverable is working software you own, not a slide deck. How we are different
How long does it take to get a working AI system?
A pilot takes four to six weeks and runs one capability against your real data with live accuracy and latency numbers. Scaling that into a multi capability system with monitoring and integrations takes a further eight to twelve weeks. Production support after that is ongoing. Timelines and deliverables
Who owns the code and the models?
You do. All custom code, configurations, integrations and any models fine tuned on your data are your intellectual property from day one. Our pre existing frameworks stay ours, with a perpetual royalty free licence for you to keep using them. Full procurement answers
Where can the system run?
In your own cloud account (AWS, Azure or Google Cloud), fully on premises including air gapped environments, or a hybrid of the two. The architecture adapts to your security and compliance requirements, and you keep control of infrastructure, billing and access. Security architecture

More questions are answered on the FAQ page.

Your team knows the domain.

We bring the AI engineering.

Together, we ship systems that last.

Let's architect your next system

Architecture-first methodology
Pilot in weeks, not months
Dedicated engineering team

Tell us about your challenge - we'll outline an architecture and a path to production.
No commitment required.

Engineered for enterprise-grade reliability and compliance

SOC2
Aligned
Enterprise
Security
HIPAA
Ready
Real-time
Systems