Booking new builds for Q4 2026, updated
AI that talks, reads and gets work done.
Voice agents, WhatsApp agents and custom AI for real operations — built and run by a senior studio in Surat, India. Live in 2–8 weeks.
Live call · voice agentSample
Hi, can I move my appointment to Thursday?
Sure. Thursday has 11:00 and 4:30 PM free. Which works?
4:30, please.
Done. I've sent the confirmation on WhatsApp.
✓ calendar.check → 2 free slots
✓ booking.update → Thu 16:30
✓ whatsapp.send → confirmation
In short
Mirai Minds is an AI engineering studio in Surat, India. We design, build and run production AI: agents that act inside your tools, voice and WhatsApp agents that talk to customers, document AI that turns drawings into SAP-ready data, and computer vision for photos and products. Most builds ship in two to eight weeks.
Built for
- Photo Experience
- iKoMatch
- Myva.ai and CallPaaS
- Rouh
…and a public-sector refinery we can't name.
What we build
Five kinds of AI systems. One studio.
Each one designed, built and run by the same senior team, with a person in the loop until the numbers say otherwise.
AI agents and automation
Agents that read, decide and act inside your tools, with every tool call logged and a person approving the risky ones.
- Operations copilot over internal APIs
- Browser or desktop task agent
- Research and enrichment pipeline with human approval
Voice AI agents
Phone agents that answer, qualify and follow up in English or Hindi, and bring in a person when the caller needs one.
- Inbound support line with live handoff
- Outbound qualification campaign
- Abandoned-cart recovery calls
WhatsApp AI agents
WhatsApp agents that remember each customer, answer from your documents and let your team step in from an inbox.
- Lead qualification and follow-up on WhatsApp
- Customer support with answers from your documents
- Onboarding that turns a chat into a profile
Custom LLM and document AI
Language models grounded in your documents and data, measured on your own test set, with people reviewing what matters.
- Document extraction into ERP or SAP
- Question answering over policies, manuals or catalogs
- Call and meeting analysis
Computer vision
Vision models that find faces and products, cut out backgrounds and edit photos, fast enough for a queue of real customers.
- Face search for event and venue photos
- Background removal and compositing
- Generative photo effects with identity checks
Shipped work
Every system we've built, in one ledger.
Shipped to productionUpdated
| Project | What we built | Result | Year | Status |
|---|---|---|---|---|
| Resin manufacturer (India) | Catalog chat assistant with text and photo product search | Pilot on a 15-product catalog sample | 2026–present | Pilot |
| Photo Experience | Generative photo editing, face search and the image pipeline | 18.7 s per generative photo on one A100 (was 60–90 s) | 2023–present | Pilot |
| iKoMatch | WhatsApp and voice fundraising assistant with explainable matching | 6,717 investor records; each day's matches graded by an LLM judge | 2026 | In production |
| CallAuditAIIn-house | Call audit service: recordings scored against a weighted rubric | Scorecards for an admissions counseling team's recorded calls | 2026 | In production |
| Ethnic-wear e-commerce brand (India) | Visual product search and abandoned-cart recovery calls | Visual search live for store staff since July 2026 | 2026 | In production |
| WhatsApp AgentsIn-house | WhatsApp agent service with memory, summaries and document search | Runs iKoMatch's founder conversations on WhatsApp | 2026 | In production |
| AI outbound-calling startup | Pipecat voice bot, campaign dialer and per-call recording | Live for outbound campaigns | 2025–2026 | In production |
| Voice AgentsIn-house | Multi-tenant platform for AI phone agents and calling campaigns | Live at voice-agents.miraiminds.co | 2025–2026 | In production |
| Indian public-sector refinery | Document AI: engineering drawings to SAP-ready bills of material | Delivered and handed over; every row reviewed before it reaches SAP | 2025–2026 | Delivered |
| US logistics software company | Chat agent over the client's platform APIs through MCP | Delivered; every tool call's arguments are checked before it runs | 2025 | Delivered |
| Gurbani learning app | Transliteration, explanation and speech API for Gurbani lines | Delivered to the app team as an authenticated API | 2025 | Delivered |
| Myva.ai and CallPaaS | Document-grounded chatbot platform and call-center AI with GPT | Both products built and extended across 2023–2025 | 2023–2025 | Delivered |
| Rouh | Desktop computer-use agent with MCP tools, scheduling and memory | Working desktop prototype, reviewed by the founder | 2024–2025 | Prototype |
Case studies
How three of them were built
Photo Experience
AI photo pipeline for theme-park souvenir photos
18.7 sPer generative photo on one NVIDIA A100 80GB
Computer vision
iKoMatch
iKoMatch: an AI fundraising assistant on WhatsApp and voice
6,717Unified investor records
AI agents and automation · WhatsApp AI agents · Voice AI agents
Indian public-sector refinery
Engineering drawings to SAP-ready bills of material
16SAP material-master fields per extracted row
Custom LLM and document AI
The stack
What we build with
Chosen per project, from what we've already run in production.
Models
- GPT-4.1
- Claude
- Gemini
- Llama 4
- Qwen Image Edit
Voice
- Pipecat
- LiveKit
- Deepgram
- Cartesia
- ElevenLabs
- Sarvam
- Silero VAD
- Twilio
- Plivo
- Vapi
Agents and data
- MCP
- OpenAI Agents SDK
- LangChain
- LangSmith
- Mem0
- Pinecone
- FAISS
- Playwright
Vision
- PyTorch
- YOLOv11
- InsightFace
- ArcFace
- Diffusers
Platform
- WhatsApp Business
- FastAPI
- PostgreSQL
- Redis
- Docker
- AWS
Receipts
What founders said after launch
Best place to get job done.
Awesome work!!! Everything works as expected. I don’t have any major feedback other than keep going.
Process
From first call to production in two to eight weeks
Week 01
Discovery call
Thirty minutes with an engineer. You describe the job; we say whether AI is the right tool and what it would take.
Week 12
Scope and evals
We agree what done looks like and build a test set from your real data before writing the system.
Weeks 2–63
Build
Working software every week, measured against the test set, with your team trying it early.
Launch4
With human review
The system goes live with a person checking the risky steps and a clear way to reach a human.
Ongoing5
Run and improve
We watch real traffic, fix what breaks and tune on real cases, or hand over with documentation.
Built in-house
Products we run ourselves
Client work starts from parts already tested in production.
CallAuditAI
CallAuditAI: rubric scoring for counseling and sales calls
Scorecards for an admissions counseling team's recorded calls
Custom LLM and document AI
WhatsApp Agents
WhatsApp Agents: our service for AI WhatsApp conversations
Runs iKoMatch's founder conversations on WhatsApp
WhatsApp AI agents
Voice Agents
Voice Agents: our platform for AI phone agents
Live at voice-agents.miraiminds.co
Voice AI agents · WhatsApp AI agents
FAQ
Asked on the first call
What does Mirai Minds build?
Five kinds of production AI systems: AI agents that take actions in your software, voice AI agents for phone calls, WhatsApp AI agents, custom LLM and document AI, and computer vision for photos and products. We also run three products of our own: Voice Agents, WhatsApp Agents and CallAuditAI.
How long does a typical build take?
Most builds ship in two to eight weeks. The first week goes to scope and evaluation, building a test set from your real data; the build follows in weekly releases; launch happens with a person reviewing the risky steps. We give a timeline on the first call.
Which models and providers do you work with?
Whichever fits the task: OpenAI, Anthropic, Google Gemini, Meta Llama, Mistral, DeepSeek and Qwen models, and open-weight models on dedicated GPUs. For voice we use Deepgram, Cartesia and ElevenLabs over Plivo or Twilio. We say when a smaller or cheaper model is enough.
What stage should my company be at to work with you?
Any stage. We have built for founders with a first product, for growing software companies and for a public-sector refinery. What changes is the scope, not the bar: every system gets an evaluation set, monitoring and a way for a person to step in.
Can you work with our in-house engineers?
Yes. We can build alongside your team, hand a finished system over with documentation, or keep running it for you. On the refinery document AI project we handed the system over to the client's IT partner at the end of the engagement.
Have a system in mind? Let's scope it.
A 30-minute call with an engineer who has shipped this before. You leave with a plan, a rough timeline and what it would take — whether or not we build it.