AI Solution Providers
A complete AI technology partner from architecture to operationsWe design, build, and operate complete AI solution stacks — combining the right models, infrastructure, data pipelines, and monitoring for your specific industry and scale.
What you get
Every engagement is designed around clear business outcomes — not just technical deliverables.
Full Stack Ownership
We own the complete solution — no gaps between data, model, API, and frontend layers.
Cloud Flexible
Deploy on AWS, Azure, GCP, or on-premise — the architecture adapts to your constraint.
MLOps Built In
Model versioning, A/B testing, drift detection, and automated retraining from day one.
24/7 Support
SLA-backed support with on-call escalation for critical AI systems.
Built Different. Delivered Different.
We are not a big-4 consulting firm with layers of juniors — we are senior practitioners who have built and shipped real systems at scale.
10+ Years of Production AI
We have shipped AI systems used by millions — not slide decks, but deployed, monitored production code.
Results-Driven, Not Hours-Driven
We measure success by your business outcomes: reduced costs, more revenue, faster operations.
Deep Technical Depth
Senior engineers across ML, backend, cloud, and data — no generalists who dabble, only specialists who ship.
Radical Transparency
We tell you when AI is not the right answer. Our goal is your success — not our revenue.
How we work
A battle-tested process refined across 50+ projects — fast, transparent, and built for production from day one.
Architecture Review
Assess existing infrastructure and design an AI architecture that fits without a rip-and-replace.
Data Platform
Build or upgrade the data platform that feeds the AI — quality in, quality out.
Model Development
Train, fine-tune, or orchestrate models appropriate for each business function.
Integration & Deployment
Deploy behind APIs with load balancing, caching, and zero-downtime deployments.
Operate & Evolve
Continuous monitoring, quarterly model reviews, and capability expansion on roadmap.
Our tech stack
We pick the best tool for the job — not the one we happen to know. Here is what powers our AI Solution Providers engagements.
ML Platforms
MLOps
Serving
Monitoring
Typical projects
From rapid MVPs to enterprise-grade systems — here are the kinds of projects we tackle.
Choose how we work together
No one-size-fits-all pricing. We adapt to your project type, team size, and budget.
Fixed-Price Project
Clearly scoped deliverables, timeline, and price. Zero surprises — you know exactly what you are paying for.
- Detailed scope document
- Fixed-cost proposal
- Milestone-based payments
- 30-day post-launch support
Ideal for: Defined projects with clear requirements
Monthly Retainer
Dedicated hours each month for ongoing development, optimisation, and strategic AI guidance.
- Dedicated senior engineer hours
- Weekly strategy calls
- Priority support SLA
- Monthly roadmap reviews
Ideal for: Growing SaaS and product companies
Team Augmentation
Dedicated engineers embedded in your team — same timezone, same tools, same Slack.
- Full-time dedicated engineers
- Direct Slack/Teams access
- Embedded sprint participation
- Knowledge transfer sessions
Ideal for: Enterprises scaling their tech teams
Common questions
Still have questions? Ask us directly →
How do you ensure AI model accuracy over time?
We implement data drift monitoring, scheduled retraining pipelines, and regression test suites that run automatically.
What cloud platforms do you support?
AWS, GCP, and Azure natively. We also support hybrid cloud and on-premise deployments for regulated industries.
Do you help with AI compliance and governance?
Yes — we build model cards, explainability reports, bias audits, and governance frameworks alongside the solution.
Let's build something
extraordinary together.
Book a free 30-minute discovery call. No sales pitch — just an honest conversation about your challenge and how we can help.