Wedding Platform
HappyWedz
50,000+ active users
↗AI & software studio · Nashik → worldwide
AI agents, voice agents& production MVPsbuilt by fifty engineers.
Fixed scope, fixed price, a launch date in writing. We design, build and evaluate AI agents, WhatsApp and voice agents, MVPs and custom ML — and train your team to run them.
- engineers in-house
- 50+
- users on our products
- 60k+
- to a fixed-price plan
- 48h
- typical time to launch
- 4–8 wk
- ✦HappyWedz · Wedding Platform
- ✦Interify · Interior Design CRM
- ✦CupCount · POS · CRM
- ✦WapZio · WhatsApp Business Suite
- ✦Nischay Shrivastav · Cinematic Portfolio
- ✦PN Villa · Direct Booking Engine
✦ the only rule
Ifyoucandescribeit,wecanbuildit.Anapkin-sketchstartup.AnMVPthatshipsatproductiongrade—norewritelater.AnAIagentthatrunsyourops.Avoiceagentthatanswerseverycall.Amodeltrainedonyourowndata.Youbringtheidea.Webringtheotherfiftypeople.
capabilities
What we build, end to end.
Nine ways clients use the studio. Each links to scope, timeline and fixed-price ranges.
01
AI agents
Autonomous agents that qualify leads, answer support, move tickets and run workflows — wired into the tools you already use.
- Sales & support
- Multi-agent systems
- Tool integrations
02
Voice agents
Phone agents that sound human — they book appointments, qualify callers and follow up, in your brand voice, around the clock.
- Inbound & outbound
- 24/7 coverage
- Human handoff
03
Startups, end to end
From first sketch to funded product — strategy, design, engineering, launch. We have shipped our own; we build yours like it is ours.
- Product strategy
- Brand & UI
- Full-stack build
- Launch
04
MVPs at production grade
The speed of an MVP with the architecture of a real product. Ship in weeks, scale for years — no throwaway code, no rewrite tax.
- Weeks not months
- Scalable architecture
- CI/CD from day one
05
Business solutions
Custom systems that remove the bottleneck in your operation — ERPs, CRMs, internal tools, dashboards, integrations.
- Internal tools
- CRM / ERP
- Dashboards
- Integrations
06
AI automation
We map your busywork and delete it — document processing, follow-ups, reporting, scheduling — stitched into one quiet machine.
- Workflow automation
- Document AI
- Zero-touch ops
07
Custom ML models
Models trained on your data, for your exact use case — forecasting, vision, recommendation, risk. Deployed, monitored, retrained.
- Your data
- Fine-tuning
- MLOps & monitoring
08
Agent harnesses & multi-agent systems
The loop, tools, evals and guardrails around the model — on the Claude Agent SDK, managed agents or your own stack. Orchestrator–worker systems, MCP servers, computer-use agents.
- Claude Agent SDK
- MCP servers
- Evals & observability
09
AI training for your team
We teach what we build. One- and two-day hands-on workshops on Claude Code, the Agent SDK, MCP, evals and multi-agent design — on your codebase, in your hours.
- Claude Code rollout
- Agent SDK workshop
- Evals workshop
✦ selected work
Built here.
Used everywhere.
Platforms, products and tools we’ve taken from idea to tens of thousands of users.
Interior Design CRM
Interify
10,000+ users
↗
POS · CRM
CupCount
300+ shop owners
↗
buildingWhatsApp Business Suite
WapZio
In development
↗
Cinematic Portfolio
Nischay Shrivastav
Bookings up 3×
↗
Direct Booking Engine
PN Villa
OTA fees: ₹0
↗✦ pricing
Real prices,
before the first call.
Fixed scope, fixed price, milestone payments. These are the ranges we actually quote in 2026.
WhatsApp AI agent development
from
₹3.5L
2–3 weeks · FAQ + lead capture
No message unanswered after hours.
See scope & tiersVoice AI agent development
from
$8k
4 weeks · Booking line
99%+ of calls answered, including after hours.
See scope & tiersAI agent development
from
$6k
2–4 weeks · Retrieval assistant
Leads answered and qualified in seconds, 24/7.
See scope & tiersMVP development
from
$5k
1–2 weeks · Validator
Launch in 6–12 weeks, on a date agreed in week one.
See scope & tiers✦ idea → production
From a sentence
to a system.
1
Say it
A 30-minute call. You describe it — napkin sketch, voice note, half an idea. All valid inputs.
2
Shape it
We return a scoped plan in 48 hours: architecture, pod, timeline, fixed price. No surprises later.
3
Build it
Your pod ships weekly. You watch it happen in a live staging link, not a slide deck.
4
Ship it
Production launch with monitoring, security review and load testing already done.
5
Scale it
We stay on — iterating, retraining models, tuning infra as your numbers grow.
✦ the bench
0engineers,
one roof.
one roof.
Every project gets a dedicated pod pulled from across the studio — so the same roof covers your frontend, your infra, your model and your security review.
delivery pods · worldwide
Web & Product
00
React, Node, mobile, design systems
AI & ML
00
Agents, LLM apps, custom model training
Cloud
00
AWS, GCP, Azure — architecture & cost
DevOps
00
CI/CD, Kubernetes, observability
Web3
00
Smart contracts, dApps, tokenomics
Cybersecurity
00
Audits, pentesting, compliance
✦ client reviews
Don’t take
our word for it.
★★★★★
from founders & operators worldwide
★★★★★
“We came with a pitch deck and left with a product 50,000 people use. They argued with us when we were wrong — that alone was worth the fee.”
Arjun Mehta
Founder, HappyWedz
★★★★★
“Their voice agent answers every call to our clinics. Bookings happen at 2am now. It paid for itself inside the first month.”
Sara Lindqvist
COO, NordCare Clinics
★★★★★
“The “MVP” they shipped survived our Series A traffic spike untouched. Most agencies sell speed or quality. Somehow this was both.”
Daniel Okafor
CTO, LedgerPay
★★★★★
“They trained a demand-forecasting model on three years of our messy data and it now drives our entire purchasing. Felt like hiring an ML department overnight.”
Priya Sharma
Director, Vastra Retail
★★★★★
“One pod handled our app, our cloud and our security audit. Six vendors became one WhatsApp group. I will never go back.”
Marcus Chen
Founder, Stackline
★★★★★
“I described the idea on a Tuesday call. The kickoff doc arrived Wednesday morning. They really do build anything — and fast.”
Elena Rossi
CEO, Fioré Studio
✦ questions
Straight answers.
Still unsure? Send three sentences about your project — a real engineer replies within 24 hours.
Ask us directlyWhat does TrueCodeAI build?
AI agents, WhatsApp and voice agents, production MVPs, MCP servers, custom ML models and back-office automation — plus hands-on AI training for engineering teams. A 50-engineer studio in Nashik, India, working with clients worldwide.
How much does an AI agent or MVP cost?
Typical fixed-price ranges: WhatsApp agents from about $4k, voice agents from $8k, AI agents from $6k, core MVPs from $25k. Use the cost calculator for a range, or send a three-sentence brief for an exact fixed price within 48 hours.
How long does a project take?
WhatsApp agents go live in about three weeks, voice agents in four, most AI agents and MVPs in four to eight. The launch date is agreed in writing in the first week.
Do we own the code and the IP?
Yes. The repository lives in your organisation from the first commit, and IP is assigned to you on payment.
Do you work with clients outside India?
Yes — most of our clients are in the US, UK, Europe and the Middle East. We keep a fixed daily overlap with your time zone and send written updates every week.
How do you make sure an AI agent is reliable?
Every agent ships with an eval suite built from your real data, approval gates on irreversible actions, and full tracing. It runs in shadow mode — proposing while your team approves — before it acts alone.
✦ from the studio
Guides, with real numbers.
Tutorial2 min read
Structured Outputs: Getting Reliable JSON from LLMs
Getting reliable structured data from LLMs: JSON schemas, constrained decoding, validation and retries, enums, and schemas the model fills correctly.
By TrueCodeAI EngineeringLLMTutorial
Guide2 min read
Monitoring AI Agents in Production: What to Track
What to monitor once an AI agent is live: success and escalation rates, cost per task, latency, tool errors and feedback — plus the alerts that matter.
By TrueCodeAI EngineeringObservabilityAI agents
Tutorial2 min read
How to Evaluate a RAG System: Metrics That Matter
A practical guide to evaluating retrieval-augmented generation: building the eval set, retrieval metrics, answer grading, LLM judges and regression testing.
By TrueCodeAI EngineeringRAGEvals
✦ your move
Got an idea?
We’ve got fifty engineers.
Tell us what you want to exist. We’ll reply within 24 hours with how we’d build it.
hello@truecodeai.com · replies within 24h · Nashik, India · Remote-first · Worldwide