An AI & Automation Team Is Not a
Chatbot Vendor
A dedicated AI & Automation team is a long-term engineering capability — staffed with AI/ML engineers, data scientists, LLM specialists, and automation architects who own your AI roadmap end to end. Not a one-off project shop. A strategic extension of your product organisation.
Dedicated AI Engineers
ML engineers, LLM specialists, and data scientists exclusively allocated to your AI product — no shared capacity, no rotating contractors.
End-to-End AI Delivery
From model selection and fine-tuning to production deployment, monitoring, and continuous optimisation — full delivery ownership built in.
Secure & IP-Protected
Watertight NDA and IP ownership agreements, GDPR-aligned data handling, and secure cloud environments — your models and data, always.
Generic AI Vendors & Consultancies
Project-based, black-box delivery
- ✕ Fixed-scope projects with no long-term continuity or ownership
- ✕ Shared capacity across multiple client accounts simultaneously
- ✕ Knowledge lost at handover — no institutional memory retained
- ✕ IP ambiguity on models, datasets, and proprietary pipelines
- ✕ Hidden markups of 40–70% on every specialist billed
- ✕ No accountability beyond the agreed deliverable scope
ManagedTeams.co AI & Automation
Dedicated. Managed. Accountable.
- ✓ Dedicated AI team aligned to your long-term product roadmap
- ✓ 100% exclusively your team — no shared bench, ever
- ✓ Long-term knowledge retention with structured onboarding
- ✓ Watertight NDA and full IP assignment from Day 1
- ✓ Transparent cost-plus pricing — zero hidden margins
- ✓ Delivery management and governance built in from Day 1
Every AI Capability.
Fully Managed.
From building production-grade LLM applications to automating complex business workflows — our dedicated AI & Automation teams cover every layer of your AI stack.
LLM Integration & Application Development
Build production-ready LLM-powered applications using OpenAI, Anthropic, Gemini, Mistral, and open-source models. From intelligent chatbots to complex multi-agent systems.
RAG Systems & Knowledge Bases
Design and deploy Retrieval-Augmented Generation pipelines that connect LLMs to your proprietary data — internal docs, knowledge bases, product databases, and live APIs.
ML Model Development & Fine-Tuning
Custom ML model development, training, evaluation, and fine-tuning for classification, forecasting, NLP, computer vision, and recommendation systems tailored to your domain.
Intelligent Process Automation
Automate complex, document-heavy, and decision-driven workflows using AI-powered RPA, intelligent document processing, and agentic orchestration layers.
MLOps & AI Infrastructure
Build robust ML pipelines, model registries, monitoring systems, and deployment infrastructure that takes models from experiment to production reliably and at scale.
Data Pipelines & AI-Ready Infrastructure
Design and build the data foundations that power your AI systems — ingestion pipelines, feature stores, data lakes, and real-time streaming architectures.
Every AI Role.
Fully Staffed.
From a single AI engineer embedded in your team to a full cross-functional AI squad — we recruit, onboard, manage, and retain the right specialists for your use case.
AI/ML Engineers
Model training, fine-tuning, evaluation, and production deployment specialists.
LLM & Prompt Engineers
LLM integration, prompt engineering, agentic system design, and RAG pipeline architects.
Data Scientists
Experimentation, statistical modelling, feature engineering, and model interpretation.
MLOps & AI Infrastructure
Production ML pipelines, model monitoring, and deployment infrastructure engineers.
Automation Engineers
Intelligent workflow automation, RPA with AI, document processing, and API orchestration.
Data Engineers
AI-ready data pipelines, feature stores, streaming architectures, and data lake engineers.
AI QA & Evaluation
LLM output evaluation, red-teaming, performance benchmarking, and responsible AI testing.
AI Technical Leads
Senior architects guiding your AI strategy, stack selection, team delivery, and system design.
What Our Clients Report
After 12 Months
Why Choose Us as Your
AI Team Partner in India
We don’t sell AI consulting engagements. We build and operate your dedicated AI engineering capability — with full accountability at every layer.
Faster AI Team Setup
Recruiting specialist AI talent traditionally takes 4–6 months. We onboard a dedicated AI team within 2–4 weeks using a rigorous, AI-specific hiring pipeline — so you ship your first model faster.
Beyond AI Staff Augmentation
We provide managed delivery, model governance, AI system continuity, and long-term engineering alignment — not just a data scientist placed on your Slack. Delivery ownership from Day 1.
Pre-Vetted AI Specialists
Every AI engineer passes a rigorous technical screening covering ML fundamentals, LLM system design, coding standards, and production deployment experience. No juniors passed off as seniors.
100% IP Ownership
Your team, your models, your code, your training data pipelines. Always. Full NDA coverage, model ownership contracts, zero shared capacity with other clients — ever.
Cost-Optimised AI Scaling
Reduce AI engineering costs by 60–70% compared to US or UK equivalents. Access world-class AI talent density without infrastructure investment or hidden agency markups on every specialist.
Transparent AI Reporting
Model performance dashboards, experiment tracking, delivery reports, and open communication channels. No black-box AI outsourcing — full visibility at every stage of your AI roadmap.
Any AI Stack.
Any Team.
Our managed AI engineers are pre-vetted across the full modern AI and automation technology stack — from LLM frameworks to ML infrastructure and production deployment.
LLM & Foundation Models
AI Frameworks & Orchestration
Vector Databases & Search
ML Engineering
Cloud AI & MLOps
Automation & Data
Your AI Team. Live in
2–4 Weeks.
From signed agreement to your first model sprint — every step is owned by us so there are no surprises on your end.
Day 1–3
🔍 AI Discovery & Use Case Alignment
We deep-dive into your AI goals, existing data assets, technical constraints, compliance requirements, and team structure. We map out the right AI capability model, team composition, and tooling stack — before recommending a single engineer.
Week 1–2
🎯 Specialist Team Formation
We recruit and screen AI engineers, LLM specialists, data scientists, and automation architects aligned to your use case. Every candidate is assessed on technical depth, domain fit, and communication quality. You approve every final hire — always.
Week 2–3
🔐 IP, Legal & Infrastructure Setup
Watertight NDA and IP ownership agreements are executed. Secure cloud infrastructure, access controls, data handling protocols, and communication channels are established. Your models and data assets are fully protected from Day 1.
Week 3–4
🚀 Onboarding & First Sprint
Your AI team integrates into your workflows via Slack, Jira, GitHub, and your existing experiment tracking and deployment tools — joining stand-ups and culture from Day 1. Sprint cadences, KPIs, and delivery frameworks are aligned for immediate velocity.
Continuous
⚡ Managed Delivery & Ongoing Optimisation
We continuously manage team performance, model delivery quality, retention, and operational stability. Regular reporting, model performance dashboards, and proactive scaling recommendations — so your AI roadmap stays on track without the overhead.
Work the Way
You Need To.
Three flexible AI engagement models built for different growth stages — from embedding a single specialist to building a full AI engineering centre.
Monthly Managed AI Team
Dedicated AI & automation team operating under an ongoing monthly engagement. Your engineers, your models, your roadmap — fully managed by us.
Best for
- ✓Long-term AI product development
- ✓Model continuity & knowledge retention
- ✓Ongoing AI scaling roadmap
Build-Operate-Scale AI
We build the AI team, operate all delivery processes, and scale your AI capabilities over time — a practical alternative to expensive in-house AI hiring.
Perfect for
- ✓Companies avoiding entity setup overhead
- ✓Building long-term AI engineering capability
- ✓Multi-model, complex AI environments
Flexible AI Team Scaling
Scale your managed AI team up or down based on sprint demands — without the overhead of individual hiring, agency renegotiations, or contract complexity.
Ideal for
- ✓AI startups with variable sprint needs
- ✓Product launch & AI feature expansion phases
- ✓Scaling from prototype to production AI
Built for Every
Growth Stage.
Whether you’re a founder shipping your first AI-powered feature or an enterprise building a dedicated AI engineering centre, our model scales with you.
AI Startups & Scale-ups
Launch AI-powered products faster without competing for rare senior AI talent. Get a senior-led ML or LLM team operational in weeks — with no HR overhead or lengthy recruitment cycles.
SMBs & Product Companies
Add serious AI capability to your product without building an expensive in-house AI team. Access top ML and automation talent at 60–70% of the cost, with full operational management.
Enterprises & Deep Tech
Build a dedicated AI engineering centre in India with reduced operational complexity. No entity setup, no infrastructure investment. Enterprise-grade governance with full delivery accountability.
AI & Automation Teams Built for
Your Sector.
We build domain-aligned AI teams that understand industry-specific data environments, regulatory requirements, and AI application patterns.
FinTech & Banking
Fraud detection models, credit scoring AI, intelligent document processing, and LLM-powered financial advisory tools — with regulatory compliance built in.
Healthcare & MedTech
Clinical NLP, patient journey automation, medical imaging AI, EHR intelligence, and healthcare-grade LLM applications — with privacy-first data handling.
SaaS & Product Companies
AI feature development, LLM-powered user experiences, intelligent search, recommendation engines, and autonomous workflow automation for SaaS products.
Ecommerce & Retail
Personalisation engines, demand forecasting models, intelligent inventory optimisation, customer service AI, and visual search systems for commerce platforms.
Logistics & Supply Chain
Predictive demand planning, route optimisation AI, intelligent warehouse automation, supply chain anomaly detection, and operations forecasting systems.
Manufacturing & Industry 4.0
Predictive maintenance ML, quality inspection AI, IoT-driven anomaly detection, production optimisation models, and intelligent process automation for industrial environments.
AI & Automation Teams —
Your Questions Answered
What AI roles can you staff within a dedicated managed team? +
We staff AI/ML engineers, LLM and prompt engineers, data scientists, MLOps engineers, automation architects, data engineers, AI QA specialists, and senior AI technical leads. Teams can be a single embedded specialist or a full cross-functional AI squad depending on your requirements.
How is this different from an AI consulting firm or project vendor? +
Consulting firms deliver fixed-scope projects and leave. We build a dedicated, long-term AI engineering team that is exclusively yours — continuously aligned to your product roadmap, retaining institutional knowledge, and scaling as your AI ambitions grow. It’s the difference between a one-off engagement and building a permanent AI capability.
Who owns the models, training data, and code developed by the team? +
100% of all intellectual property — models, fine-tuned weights, training pipelines, datasets, and code — belongs to you. Watertight NDA and full IP assignment agreements are implemented from Day 1. Your AI assets are always yours, with zero ambiguity.
Do I need to set up a legal entity in India to hire AI engineers? +
No. ManagedTeams.co handles all HR, payroll, compliance, and operational infrastructure on your behalf. You get all the benefits of a dedicated AI team in India without registering a company, setting up a legal entity, or investing in Indian infrastructure.
How quickly can an AI & Automation team be operational? +
A dedicated AI team can typically be live and into its first sprint within 2–4 weeks from signed agreement. Our phased approach — discovery, team formation, infrastructure setup, and onboarding — ensures fast deployment without compromising on specialist quality.
Can I scale my AI team as our requirements evolve? +
Yes. Scalability is a core design principle of our engagement model. You can expand or reduce team size, add new AI specialisms, or adjust delivery focus based on evolving product needs and business priorities — with zero hiring overhead on your side.