AI That Works for
Your Business
Custom AI development from strategy to production. RAG systems, agents, fine-tuning, and edge deployment—built right, deployed fast. No buzzwords, no overengineering, no wasted budget.
What We Offer
Comprehensive Gen AI services from strategy to production deployment
RAG Systems & Knowledge Bases
Make your AI answer questions using your company's actual data—not generic web knowledge. Perfect for customer support, documentation search, and internal knowledge bases.
Key Capabilities
AI Where It Matters Most
Deploy intelligence directly on devices. From factory floors to farm fields—real-time decisions, zero cloud dependency.
Industrial Automation
- Quality Control
- Predictive Maintenance
- Process Optimization
Robotics & Vision
- Object Detection
- Path Planning
- Visual Inspection
IoT & Sensors
- Edge Analytics
- Real-time Monitoring
- Anomaly Detection
Smart Agriculture
- Crop Monitoring
- Precision Irrigation
- Yield Prediction
Expertise
You Can Trust
We're a specialized Gen AI consultancy focused on delivering real results. No inflated claims, no surprises, no black-box development. Just senior engineers who build production AI systems.
Powered by Industry Leaders
We leverage cutting-edge technologies from the most trusted names in AI to build production-ready solutions that scale.
Common Questions
What to expect when working with us
How do I know if my problem actually needs AI?
Not every problem needs AI. We'll tell you upfront if traditional software would work better. AI makes sense when you need to process unstructured data (text, images), make judgment calls on ambiguous inputs, or automate tasks that currently require human reasoning. If simple rules or SQL queries can solve it, we'll say so.
What if we don't have enough data to train an AI?
Many AI solutions don't need large datasets. RAG systems work with your existing documents and data. For fine-tuning, we can start with smaller datasets or use few-shot learning techniques. We'll assess what you have during the consultation and recommend the right approach—whether that's working with what you have, using pre-trained models, or helping you collect the right data.
Can we start small before committing to a large project?
Absolutely. We recommend starting with a focused MVP (4-6 weeks) that solves one specific problem. This lets you see results, prove ROI, and learn what works before scaling up. Most of our clients start with a pilot project and expand from there. No pressure to commit to a massive build upfront.
What happens if the AI doesn't work as expected after launch?
We start with an MVP to prove value before scaling. If results aren't meeting expectations, we pause, analyze what's wrong, and adjust—no pushing forward on a bad approach just to bill hours. You own the code, so you're never locked in. We also include monitoring dashboards so you can see exactly how the AI is performing in production.
What happens after launch—will we be dependent on you for maintenance?
No. You own all the code and documentation. We build systems your team can maintain and improve. We include knowledge transfer and training so you're self-sufficient. That said, if you need ongoing support for optimization, new features, or technical help, you can choose to work with us—but it's optional, not required.
Do I need to have my own data scientists or AI team to work with you?
No. We handle everything from strategy to deployment. You just need someone who understands the business problem and can validate that the AI's outputs make sense. We'll train your team on how to maintain and improve the system after launch, but you don't need AI expertise to get started.
Let's Discuss Your Project
Free 30-minute consultation with our technical team. We'll tell you directly if AI is right for your problem, what it'll cost, and how long it'll take. If we're not a good fit, we'll say so upfront.