Interested in tailored AI/ML solutions? Fermat offers custom fit solutions to meet your specific technical and regulatory requirements. ➡ Model Development ➡ Data Security & Privacy ➡ Testing & Validation ➡ Compliancy & Governance ➡ Monitoring & Optimization ➡ Data Storage

As we continue to face cybersecurity threats, fragmented legacy systems & the complexity of responsible AI/ML adoption, the government is under pressure to modernize fast. We can help! Fermat Software is building solutions that bridge the gap by integrating trust, speed and

Bad actors aren't taking days off. Threats still exist. In today's digital battlespace, your data and critical infrastructure are under constant pressure. From state-sponsored cyber attacks to insider threats and everything in between, no one is safe. At Fermat, we build secure

Artificial Intelligence that will integrate, learn and secure real-world environments. Our advanced AI/ML development process is grounded in: ✓ Data Security and Privacy ✓ Interoperability and Integration ✓ Intelligent Model Development Want to learn more? Let us know!

Fermat starts where risk begins... at the system, data and human layer. We build upward with automation, intelligence and mission alignment. Let's move cybersecurity to active defense. Find out more here: fermatsoftware.com

No more alert fatigue. No more reactive postures. Just clarity, control and continuous improvement. At Fermat, we believe you need insight, not overload. That's why we help defense and national security teams transform raw data into real decisions with AI-powered cybersecurity

Every day, the nation's most trusted resource —its people— rely on intelligence, speed and precision to keep us safe. Fermat provides the advanced tools that our military needs to detect threats, outpace adversaries and act with confidence. When the mission matters most, they

We are excited to showcase our IoT software development and AI/ML-driven services during Works With Austin, October 1-2, 2025. Fermat is proud to be a part of the conversation shaping the future of connected technology. Silicon Labs Works With, now in its 6th year, will bring

Fermat helps teams develop secure, real-time embedded systems with AI at the edge, device-to-cloud architectures, and wireless connectivity. Our highly experienced onshore engineers accelerate product development and reduce risk - so you can launch smarter, faster, and with

Our team combines deep expertise in software development, database architecture and distributed systems to support scalable AI/ML implementations. We prioritize excellent system design to ensure models perform optimally in dynamic operational environments. #ai #ml

Fermat is at the cutting edge of technology integrating AI/ML, software development, and cybersecurity to provide the framework and security needed for these challenging times. Schedule a consultation with our team and see how we can help you protect your data against unseen

The EU Cyber Resilience Act is not a future problem. If your product runs code and connects to a network, the clock is already ticking. CRA compliance is mandatory for hardware, firmware, SDKs, and companion apps sold in Europe — and non-compliance means blocked market access,

Building connected devices is harder than it looks. You're not just writing code — you're managing firmware stacks, wireless protocols, sensor integration, FOTA pipelines, and real-time constraints, all while keeping hardware costs down and ship dates intact. Fermat Software

Machine learning isn't just for big tech anymore. We're seeing companies across industries — manufacturing, healthcare, logistics, energy — use ML to solve problems that used to require armies of analysts or years of manual tuning. Anomaly detection. Predictive maintenance.

Most OEMs we talk to think CRA compliance is a documentation problem. It's not. You can't write your way to CRA compliance. The regulation requires you to actually build security into your product — at the firmware level, in your update pipeline, in your vulnerability handling

One thing that slows down connected device programs more than anything else: firmware security bolted on at the end. We see it repeatedly. A product is nearly ready to ship, and then someone asks "how are we handling secure boot?" or "what's the update signing process?" — and

A lot of OEMs are waiting to see how CRA enforcement plays out before they act. That's a risky bet. Here's what we know right now: the EU Cyber Resilience Act is in force. The transition periods are counting down. And the engineering work required to achieve compliance — secure

FOTA sounds simple. In practice, it's one of the hardest things to get right on a connected product. A firmware update pipeline that works reliably in the lab often falls apart in the field — across intermittent cellular connections, devices with low battery, mixed firmware

A question we're hearing more and more from engineering teams: "We have tons of sensor data. We know there's something useful in it. We just don't know where to start." That's actually the perfect starting point for machine learning. You don't need a massive dataset or a

There's a version of ML that gets all the press — large language models, generative AI, billion-parameter systems running in massive data centers. And then there's the version that quietly makes products smarter every day. Anomaly detection that catches equipment failures