Build The Right Stuff.
Know where to go. Get there first.
Product Strategy
We help you identify and build the right AI features.
Most software companies know they need AI. Few know which features will actually generate revenue. We work with your team to study your users' needs, prioritize by ROI, and build a roadmap that turns AI from a cost center into a growth engine.
This is not about shipping AI for the sake of it. It's about finding the features that your competitors cannot replicate, and getting there before they do.
Customer Needs Study
Understand what your users actually need from AI. not what's trendy.
Feature Prioritization
Score each AI feature by potential ROI, complexity, and market differentiation.
AI Product Roadmap
A sequenced plan that maximizes revenue impact quarter by quarter.
Quarterly Reviews
Continuous roadmap refinement based on market shifts and client feedback.
Full-Stack AI Engineering · Open Source ↗
The complete AI production pipeline, ×10 faster with us.
This is what we do every day for 15+ software publishers. We work alongside your team on every step of the pipeline, bringing the AI expertise, the frameworks, and the velocity so your engineers can focus on what they know best. Together, we turn your roadmap into production systems at a pace you couldn't reach alone.
Ideation
Define user needs, study the market, identify the AI use cases that will generate the most impact. We work with your product team to separate hype from value.
Evaluation
Create évaluation datasets and benchmarks before writing production code. We measure what success looks like so we can prove it later.
AI Engineering
Build production-grade AI systems: RAGs, Agents, Matching Engines, Data Pipelines, Computer Vision. We handle the research, the architecture, and the hard engineering.
Backend Integration
Develop APIs, MCP servers, and backend services that plug into your existing stack. Your auth, your data, your infrastructure.
Deployment
Containerized delivery on your cloud (OVH, AWS, GCP) or on-premise. CI/CD pipelines, staging environments, production rollout.
Monitoring
MLflow observability, évaluation traces, latency tracking, quality metrics, drift détection. We don't just ship. We watch it work.
Systems we build
« We can do it ourselves »
We don't replace your team.
We make them 10x faster.
Rakam is symbiotic with your engineering team. We take on the heavy AI engineering tasks (research, system design, évaluation frameworks, production infrastructure) so your team can focus on product integration and domain expertise.
The result: your team becomes more autonomous in producing AI, and the global operational system is much more efficient.
« At Beetween, we have a very strong engineering team. Yet, we wanted to go faster, to beat the competition and take an AI leadership rôle in the HRTech sector. Rakam worked hand in hand with our team, took on heavy AI engineering tasks, helped our team be more autonomous in producing AI. By working with Rakam, your own team goes much faster, and the global operational system is much more efficient. »
Philippe Dulong De Rosnay, CEO of Beetween
HRTech. Applicant Tracking System
How We Work With You
Two engagement models adapted to where you are in your AI journey.
Project-Based
One-off AI Systems
A production-ready AI system tailored to your specific use case, delivered in weeks. We handle the full pipeline from évaluation to deployment, with optional knowledge transfer to your team.
Subscription
AI Software Leadership Program
Continuous AI product development at industrial scale. We embed with your team to ship 3-5 AI systems per year following a rigorous roadmap we build together. This is how you become the AI leader in your market.
[Common Questions]
Your tech team is great at building your product. AI engineering is a different discipline. it requires specialized research, évaluation frameworks, and production patterns that take years to master. We don't replace your team. We accelerate them. Most of our clients have strong internal teams (see Beetween). They chose us to go faster and avoid costly mistakes.
We start every engagement with a strategic assessment that calculates the potential ROI before writing a single line of code. If the numbers don't make sense, we'll tell you. Our average client sees their first AI revenue within 3 months. The question isn't whether AI will generate ROI. it's whether you'll capture it before your competitors do.
We build AI systems that plug into your existing stack via APIs and MCP servers. We deploy on your cloud (or on-premise), use your authentication, and follow your CI/CD processes. Our systems are containerized and sovereign. they run where you need them, with no vendor lock-in.
All Rakam systems are AI Act compliant by design. We include our proprietary SafeBox technology for bias removal and anonymization. We work with local model providers for sovereignty, and every system includes data obfuscation when handling personal data. Our CEO published an analysis of the AI Act's implications in Polytechnique Insights.
That's actually our goal. Every project includes knowledge transfer. Our subscription model is designed to make your team progressively more autonomous. You own the code, you own the infrastructure, and we train your team to maintain and evolve the systems we build together.
Move from AI hype to the real thing
Leave us a message, our team will get back to you within 24 hours.