Artificial Intelligence on the Edge
Optimization, edge AI, computer vision, and LLM automation for real-world constraints.
We are a high-end AI and optimization studio for B2B and B2B2B teams, delivering tailored AI for complex, non-standard problems. With 12+ years of experience in applied research and delivery, we build scientifically rigorous proof-of-concepts and production systems that solve problems off-the-shelf tools cannot.
We partner with ops-heavy Series A startups, industrial SaaS teams, deep-tech founders, and R&D units.
Built for Series A teams
- Move from prototype to defensible product fast.
- De-risk R&D with measurable, scientific PoCs.
- Deploy on real constraints: edge, embedded, and operations.
Talk directly to our lead engineers, not sales.
What we build
- Optimization and logistics intelligence
- Industrial IoT, operations, and energy efficiency
- Computer vision and edge AI
- Generative AI and cognitive process automation
Deployment targets: edge devices, embedded systems, on-prem, and cloud.
Engagement models
- Fixed-scope PoC to validate feasibility.
- Milestone project for production delivery.
- Retainer for ongoing R&D support.
Timeline expectations
- PoC in 4-6 weeks.
- Production in 8-16 weeks.
- Launch with measurable KPIs.
Risk mitigation
- Milestone billing with go/no-go checkpoints.
- Data audit before model work.
- Clear KPIs defined upfront.
Engagements typically start at EUR 25k for a fixed-scope PoC.
Proof points
- Logistics solver improving route efficiency by 15%.
- IoT energy system boosting self-consumption by 22%.
- Edge AI for infrastructure monitoring, security, and outdoor remote locations, running offline on low-power devices.
- Manufacturing intelligence reducing color variance by 30%.
- Clinical decision support cutting review time by 25%.
How we work
- Discovery: align on objectives, constraints, and data.
- Scientific PoC: validate feasibility and impact.
- Production: deploy end-to-end from hardware to UI.
Next step: a 30-minute tech triage with a lead engineer.
Versus in-house
Avoid long hiring cycles. Start immediately with senior research engineers.
Versus big consultancies
Faster iteration, tighter feedback loops, and deeper technical ownership.
Versus freelancers
Full-stack delivery from hardware to model to UI with accountability.
Technical resources
Ask for technical briefs on stochastic optimization, edge inference, and custom CV or LLM pipelines.
We routinely deploy to constrained devices (latency, memory, and power budgets considered from day one).
Open-source and community
Technical blog and updates
Trusted by
Partners and credentials
Overace Srl
consulting partner.
Marcopolo Srl
communications partner.
Lenovo AI Innovators
technology alliance.
AWS Partner Network
technology alliance.
What clients say
FAQ
How long does a PoC take?
Most PoCs run 4-6 weeks depending on data readiness and scope.
What do you need to start?
A clear objective, sample data, and access to domain experts.
What if the PoC fails?
We use milestone-based billing and go/no-go checkpoints to limit risk.
Contact
Partner with us to build the technology your competitors have not thought of yet. From proof of concept to production, we tailor the solution to your constraints.
Project inquiry
No spam. Response within 48 hours.