Your Dedicated AI & ML Engineering Team — Offshore, On-Demand
An Offshore Delivery Centre (ODC) with LogicOverdrive gives you a fully managed, dedicated team of AI/ML engineers embedded into your workflows — at a fraction of the cost of building in-house.
What Is an ODC with LogicOverdrive?
Our ODC model provides a ringfenced team of specialist engineers — data scientists, ML engineers, cloud architects, and DevOps practitioners — who work exclusively on your projects under your direction. Unlike freelancers or generalist outsourcing firms, our ODC teams are:
- Dedicated — your engineers work only on your roadmap, not shared across 10 clients
- Embedded — integrated into your Jira, Slack, Git, and sprint ceremonies from day one
- Infrastructure-ready — built on AWS/Azure/GCP with MLOps pipelines, CI/CD, and monitoring pre-configured
- Compliance-aware — NDAs, IP assignment, and data residency controls in place before a single line of code is written
The ODC Engagement Structure
🏗 Setup (Week 1–2)
Team scoping, NDA/IP paperwork, toolchain access, infra provisioning, and a 30-day delivery roadmap — live within two weeks of contract signing.
🔄 Steady State (Month 2+)
2-week sprints, weekly demos, daily standups in your timezone, and a dedicated Slack channel. Full sprint ownership, not just ticket execution.
📈 Scale On-Demand
Add engineers in 72 hours. Ramp down with 30-day notice. No severance, no bench costs, no recruiting fees.
🔒 Governance & IP
All IP belongs to you. Engineers sign individual NDAs. Code is pushed to your private repositories from day one.
ODC vs. Traditional Approaches
❌ Traditional Approaches
- 3–6 months to hire a senior ML engineer
- High bench costs during slow periods
- Generic outsourcing: shared teams, competing priorities
- Freelancers: no accountability, knowledge silos
- You manage the cloud infra yourself
✅ LogicOverdrive ODC
- Team live within 2 weeks
- Pay only for active capacity — scale up/down monthly
- Dedicated team, zero competing priorities
- Full sprint accountability with documented deliverables
- Cloud infra managed end-to-end by us
What Our ODC Teams Build
- LLM applications: RAG pipelines, AI agents, document intelligence, chatbots, multi-model orchestration
- Computer vision: object detection, defect inspection, medical imaging, video analytics
- Voice AI: multilingual voice bots, real-time transcription, VoIP integration (SIP/WebRTC)
- MLOps: model training pipelines, experiment tracking (MLflow/W&B), model serving at scale
- Data engineering: ETL, feature stores, real-time streaming (Kafka / Kinesis / Flink)
- Full-stack AI apps: REST APIs, embeddable widgets, CRM/ERP/e-commerce integrations
Who This Is For
- Series A–C startups that need to ship AI features fast without bloating headcount
- Enterprises with an AI roadmap but no internal ML talent pipeline
- SaaS companies embedding AI natively into their core product
- Consulting firms that need white-label AI delivery capacity for client projects
Let’s Scope Your ODC Team
Tell us what you’re building — we’ll propose a team structure, cost estimate, and a 30-day delivery plan within 48 hours.