Get pre-vetted, full-time AI engineers embedded directly in your organization — working in your Slack, attending your standups, and operating as a true extension of your team. Active within 2 weeks of contract signing.
We provide the full-stack of AI engineering talent — from senior LLM engineers who architect your system to MLOps engineers who keep it running in production.
The core builder of your AI systems. Designs and implements RAG pipelines, LLM integrations, AI agents, and custom AI applications using the latest frameworks and best practices.
Handles model training, fine-tuning, evaluation, and optimization. Builds the learning pipelines that make your AI smarter over time — including RLHF, DPO, and custom evaluation frameworks.
Ensures your AI systems run reliably in production at scale. Builds deployment pipelines, monitoring systems, cost optimization infrastructure, and incident response playbooks.
Builds the data infrastructure that feeds your AI systems — ingestion pipelines, vector database setup, embedding generation, data cleaning, and real-time streaming from your operational systems.
Hardens your AI systems against prompt injection, data leakage, model theft, and compliance risks. Implements security architecture, audit trails, and compliance controls for regulated industries.
Bridges the gap between your business goals and your engineering team. Owns the AI product roadmap, manages stakeholder communication, defines KPIs, and ensures every sprint ships to business outcomes.
From a single expert engineer to a full AI squad — choose the team configuration that matches your current needs and budget, and scale at quarterly checkpoints.
Ideal for: Focused features, POC builds, integration projects
Ideal for: Full AI system builds, production deployments
Ideal for: Enterprise platforms, multi-module programs
Our dedicated teams don't work from a separate silo. They plug directly into your existing workflows, tools, and culture — with zero friction and full accountability.
We share detailed profiles of pre-vetted candidates matching your requirements. You interview and approve each engineer before they join. You always have full choice over who works on your project — no surprises.
Engineers are onboarded to your Slack, GitHub, Jira, Linear, Confluence, and any other tools your team uses. They attend standups, sprint planning sessions, and retrospectives like any in-house team member.
Your engineers work exclusively on your projects during the engagement. No juggling multiple clients and no split attention. Every engineer is dedicated to your goals, working 40 hours per week as an extension of your team.
A dedicated engagement manager oversees delivery, coordinates HR and administrative support, and conducts weekly review meetings. You gain the productivity of an embedded engineering team without the management burden.
Need additional senior engineers for a critical sprint? Need to reduce team size after a major release? Team capacity is reviewed quarterly and adjusted based on your business needs — without penalties, renegotiations, or unnecessary complexity.
All code committed to your repositories. All models trained on your infrastructure. Full IP assignment signed before Day 1.
A step-by-step look at exactly how we take you from initial enquiry to engineers coding on your project in under two weeks.
We understand your project requirements, tech stack, team culture, and timeline expectations. You'll receive a proposed team composition and estimated cost within 24 hours.
We send detailed profiles including LinkedIn, GitHub portfolios, technical assessments, and project history for each proposed engineer. You interview anyone you want, reject anyone you don't — final team composition is your decision.
Our standard contracts include full IP assignment (100% of code and models are yours from Day 1), a comprehensive NDA, and a Data Processing Agreement (DPA) covering GDPR, HIPAA, and other applicable regulations.
Tool access is provisioned: Slack/Teams, GitHub/GitLab, Jira/Linear, cloud accounts, and any internal APIs. Engineers review your existing codebase, documentation, and architecture. The engagement manager sets up recurring standups and delivery cadences.
Sprint 1 is kicked off with a groomed backlog, defined acceptance criteria, and a working demo scheduled for 2 weeks out. From this point, your dedicated team delivers working software on a reliable 2-week cadence.
Outcomes from enterprise clients who scaled with our dedicated AI engineering teams.
How our dedicated model compares across the four common ways enterprises access AI engineering talent.
Everything engineering leaders and HR teams ask before starting a dedicated AI team engagement.
A dedicated AI engineering team is a group of full-time AI engineers assigned exclusively to your organization's projects. Unlike staff augmentation or freelance arrangements, dedicated teams work only for you during the engagement — joining your Slack or Teams workspace, attending your standups, and operating as a seamless extension of your internal team. They build deep institutional knowledge of your systems and deliver consistently without the coordination overhead of agency models.
Our dedicated AI engineering teams can be active and coding on your project within 2 weeks of contract signing. The 14-day timeline covers: candidate selection and your approval (Days 2–3), contract and legal paperwork (Days 3–5), tool access provisioning and codebase onboarding (Days 5–10), and sprint kickoff (Days 10–14). For urgent engagements, we can sometimes compress this to 7–10 days. Compare this to 4–6 months for an in-house AI engineering hire going through traditional recruiting.
Yes, always. We will never assign an engineer to your team without your explicit approval. After the initial discovery call, we send detailed profiles including LinkedIn profiles, GitHub portfolios, technical assessment results, and relevant project history for each proposed engineer. You can interview any or all candidates, and you have full veto power over the final team composition. We'll keep presenting alternatives until you're completely happy with the team you're getting.
The minimum engagement period is 3 months. This gives enough time for the team to onboard, build meaningful context about your systems, and ship production-ready work. Most clients extend to 6–12+ months once they experience the productivity and quality of a dedicated team — our renewal rate past the 6-month mark is 90%. Team size is reviewed and can be adjusted (up or down) at quarterly checkpoints with no penalty.
Staff augmentation agencies typically rotate engineers between multiple clients — meaning your project gets a fraction of someone's attention and institutional context is lost every few months. Our dedicated teams work exclusively on your projects, full-time, for the duration of the engagement. They develop deep knowledge of your codebase, architecture, business logic, and team culture — making them increasingly valuable over time. We also don't rotate our engineers; the same people who start your project stay on it unless you request a change.
Yes, 100%. Full IP assignment is built into our standard contract — not as an optional clause, but as a non-negotiable default. All code is committed to your repositories. All models, fine-tuning datasets, and prompt architectures are yours. All documentation lives in your wiki. We retain no rights to any work product, and we do not use your systems or data for any purpose beyond your engagement.
We handle all performance management. If you're not satisfied with any engineer's output, communication, or fit within your team culture, contact your engagement manager and we will begin replacement within 5 business days at no cost to you. We maintain a bench of pre-vetted engineers at all seniority levels for exactly this purpose. Our client satisfaction score is 4.9/5.0 across all engagements — but the guarantee exists because we stand behind every placement.
Most engagements are remote, with engineers based in India (Noida/Delhi NCR, Bengaluru, Hyderabad) working in IST timezone — overlapping well with European hours and providing a 9–12 hour window for US-based teams. For clients in India or who want on-site embedding, we can arrange full or part-time on-site presence at your offices. We also support global remote teams across all timezones for the right engagement size.
Tell us what you're building and how many engineers you need. We'll recommend the right team composition, timeline, and pricing within 24 hours.
Engineers active on your project within 14 days of contract signing — or your first month's fees are waived.
If any engineer doesn't meet your expectations, we replace them within 5 business days at no cost.
All code, models, and work product belong to you from Day 1. No exceptions.
We respond within 4 business hours.
Your information is protected and never shared.