TRUSTED BY CATEGORY LEADERS
Flipkart logoE-COMMERCE
PolygonBLOCKCHAIN
ShemarooMEDIA
Team Liquid logoESPORTS
String Metaverse logoBSE LISTED
Marine GPT logoMARITIME
Kutuby logoEDTECH
Govt. of Tamil NaduGOVERNMENT
35+
PRODUCTION SYSTEMS
5
YEARS
30
ENGINEERS
99.9%
UPTIME SLA
F500
CLIENTS
SERVICES // WHAT WE BUILD

Enterprise AI Services

Most AI vendors ship a demo and disappear. We build systems that survive production traffic, enterprise security reviews, and the Monday morning after launch.

SVC_01
Custom LLM Development
Fine-tuned large language models trained on your proprietary data. Domain-specific reasoning, not generic chat. Deployed on your infrastructure with full model ownership.
SVC_02
RAG & Knowledge Systems
Retrieval-augmented generation pipelines that ground LLM outputs in your enterprise data. Vector search, document processing, and hallucination-resistant architectures.
SVC_03
Computer Vision Pipelines
Production computer vision systems for detection, classification, and analysis. Real-time inference at scale with custom-trained models for your specific visual domain.
SVC_04
AI Infrastructure & MLOps
GPU cluster management, model serving, auto-scaling inference endpoints. We build and run the infrastructure so your models stay fast, reliable, and cost-efficient.
SVC_05
Production MLOps
End-to-end ML pipelines from data ingestion to model monitoring. Automated retraining, A/B testing, drift detection, and alerting — all integrated with your CI/CD.
SVC_06
AI Strategy & Architecture
Technical roadmapping for enterprise AI adoption. We audit your data, identify high-ROI use cases, design system architecture, and build proof-of-concepts that scale to production.
CASE_STUDIES // SHIPPED

Production Systems

FLIPKARTE-COMMERCE / WEB3

AI-Powered NFT Marketplace for 150M+ Users

150M+USER BASE REACHED

Flipkart needed to launch an NFT marketplace that could handle massive scale from day one. The platform required AI-driven content moderation, dynamic pricing models, and real-time...

11.6xReturn on AI investment within first 6 months
150M+Users with access to the NFT marketplace
<80msAverage API response time at peak load
VIEW CASE STUDY→
POLYGONBLOCKCHAIN / DEFI

Blockchain Analytics & Smart Contract AI Auditor

$2.1BASSETS MONITORED

Polygon's ecosystem was growing exponentially, with thousands of new smart contracts deployed daily. They needed an AI system that could automatically audit smart contracts for vul...

$2.1BTotal value of assets under AI monitoring
94.3%Vulnerability detection accuracy (vs. 67% industry avg)
3,200+Smart contracts audited automatically per day
VIEW CASE STUDY→
MARINE GPTMARITIME / LOGISTICS

Maritime Intelligence Platform with RAG-Based LLM

50K+DOCUMENTS INDEXED

The maritime industry relies on vast regulatory documentation, vessel specifications, and operational manuals spread across thousands of PDFs and legacy systems. Crews and operator...

50K+Maritime documents indexed and searchable
96.2%Answer accuracy on domain-specific queries
< 2sAverage query-to-answer response time
VIEW CASE STUDY→
STRING METAVERSEGAMING / WEB3

Play-to-Earn Arcade Platform with Crypto Reward Economy

1M+MONTHLY ACTIVE USERS

String Metaverse — a BSE-listed Web3 company with a ₹3,200+ Cr market cap — needed a play-to-earn gaming platform that captured the nostalgia of classic arcade titles while integra...

1M+Monthly active users across the String ecosystem
Retro + CryptoClassic arcade gameplay with real crypto rewards
Full EconomyTickets, multipliers, cash-outs, leaderboards, marketplace
VIEW CASE STUDY→
TEAM LIQUIDESPORTS / WEB3

Web3 Fan Engagement Platform for 30M+ Global Fans

30M+GLOBAL FAN REACH

Team Liquid — one of the most dominant esports organisations worldwide with 30M+ fans and partnerships with Marvel, Honda, SAP, Alienware, and Coinbase — needed a next-generation d...

30M+Fans across five continents with access to the platform
FirstLarge-scale Web3 loyalty platform in global esports
2 DashboardsAdmin views for digital item management and analytics
VIEW CASE STUDY→
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PRINCIPLES // HOW WE OPERATE

Engineering Principles

01
Custom Models, Not API Wrappers
We train and fine-tune models on your data. No GPT wrappers. No thin abstractions over third-party APIs. You own the model weights and the inference pipeline.
02
Your Data Never Leaves Your Infra
Every system we build deploys on your infrastructure. On-prem, private cloud, air-gapped — your data stays where you control it. Zero external API calls for inference.
03
Enterprise SLAs From Day One
99.9% uptime, monitoring, alerting, and failover baked into every deployment. Not an afterthought bolted on post-launch. Production-grade from the first commit.
04
Full Pipeline Ownership
Data ingestion → preprocessing → training → deployment → monitoring. One team owns the entire AI pipeline. No handoffs, no vendor lock-in, no finger-pointing.
05
35+ Systems Shipped & Monitored
Across e-commerce, maritime, education, fintech, esports, gaming, government, and enterprise ops. From BSE-listed companies to state governments. Every system live, monitored, and delivering measurable business outcomes.
PROCESS // ENGAGEMENT MODEL

How We Work

Typical engagement: 10-18 weeks from audit to production. One team, full ownership, no handoffs. Shipped 35+ systems across e-commerce, blockchain, gaming, maritime, edtech, and government.

01
WEEK 1-2
Audit
We map your data landscape, identify high-ROI use cases, and assess infrastructure readiness. No generic proposals — a technical audit specific to your stack.
02
WEEK 2-3
Architect
System design, model selection, infrastructure planning. You approve the architecture before a single line of code is written.
03
WEEK 3-12
Build
Iterative development with weekly demos. Custom models trained on your data, deployed on your infra. Full test coverage and security review.
04
ONGOING
Monitor
Production deployment with 99.9% SLA. Drift detection, automated retraining, alerting, and performance dashboards. We don’t disappear after launch.
CLIENT FEEDBACK // SIGNAL
“

MetaStart didn’t just build our AI system — they built it so our team could actually own it after handoff. The model runs on our infra, we own the weights, and their monitoring caught a data drift issue before it hit production.

F
Engineering Lead
Flipkart — NFT Marketplace Platform
“

We evaluated 6 vendors. Most pitched GPT wrappers with a UI layer. MetaStart was the only team that talked about our data pipeline, our latency requirements, and our security constraints before mentioning a single model architecture.

M
CTO
Marine GPT — Maritime Intelligence Platform
“

MetaStart delivered four production platforms for us — Arcade, Esports, Browser, and AI Agents — each on time and integrated with our token economy. They understood our Web3 stack and crypto reward mechanics from day one. No other team could have shipped this breadth at this speed.

S
Product Lead
String Metaverse — BSE-Listed Web3 Ecosystem
X:0042 Y:0089X:0891 Y:0412
METASTART@ENTERPRISE:~$ STATUS --AVAILABILITY

Taking on 2 new enterprise clients this quarter.

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No pitch decks. Technical conversation with our engineering team.