We design and deliver end-to-end AI platforms - scalable infrastructure that powers your models, data pipelines, APIs, and user-facing products under one roof. 4x faster than building in-house at 3x lower cost.
An AI Platform is the unified technical backbone - data pipelines, model training and serving infrastructure, APIs, user management, billing, and analytics - that lets your team build, deploy, and scale AI-powered products without rebuilding from scratch every time.
Companies that invest in a robust AI platform ship new features 10x faster, cut per-inference costs dramatically, and gain a durable competitive advantage. We build that platform for you - production-grade, cloud-native, and fully owned by you - in 10-16 weeks.
Fixed-price, zero surprises. Every package includes full source code, documentation, and post-launch support.
No hidden extras, no upsells. Enterprise-grade from day one.
High-throughput, low-latency inference endpoints for GPT-4o, Claude, Gemini, Llama, or your own fine-tuned models - with streaming, batching, and failover built in.
Automated ingestion from databases, APIs, files, and streams - cleaned, transformed, embedded, and ready for your models in real-time or batch modes.
Experiment tracking, model versioning, automated retraining, blue-green deployments, and instant rollback - full ML lifecycle management out of the box.
Real-time dashboards for latency, throughput, error rates, and per-model spend - with alerting, anomaly detection, and granular tenant-level usage reporting.
SSO, RBAC, API key management, data encryption, audit logs, and GDPR / SOC 2 / HIPAA-ready data handling - governance baked in from the start.
100% of your platform codebase, infrastructure-as-code, architecture diagrams, API documentation, and operational runbooks - fully yours, zero lock-in, forever.
A proven 4-phase methodology that has delivered 90+ enterprise AI platforms across 10+ countries.
We audit your data landscape, define platform capabilities, select the cloud and ML stack, and produce a battle-tested architecture blueprint - before a single line of infrastructure code is written.
Cloud provisioning via Terraform, Kubernetes cluster setup, CI/CD pipelines, data lake foundation, and model serving infrastructure - configured for security, cost efficiency, and auto-scaling.
Sprint-based delivery of AI features, data pipelines, APIs, user dashboard, billing, and MLOps tooling. Weekly demos and real working software delivered every sprint.
Security penetration testing, load testing to 10x projected peak, production cutover, and runbook-guided operations. Full infrastructure code, platform codebase, and docs - 100% yours.
See exactly why 90+ companies chose us to build their AI platforms.
4.9/5 across Clutch, GoodFirms and DesignRush - from startups to Fortune 500.
"Innovacio built our entire AI platform infrastructure in 12 weeks. What would have taken our team 18 months was delivered production-ready - with MLOps, multi-tenancy, and real-time inference out of the box."
"The AI data platform they built processes over 50 million events per day in real-time. The architecture is bulletproof - we've scaled 8x since launch without a single architectural change."
"We went from raw idea to a live multi-tenant AI SaaS platform serving paying customers in 14 weeks. The MLOps pipeline alone saved us six months of internal engineering time."
Talk to a senior platform architect today. No forms, no waiting - just a real conversation about your infrastructure vision and how fast we can deliver it.