Monitoring
AI monitoring systems
Live visibility into model behavior in production — latency, error rates and output drift — with alerts before users notice.
AI research
Understanding AI, in fine detail.
Femtosol is an AI research company. We study how intelligent systems learn, reason and fail — and work to make that understanding useful.
Research
What we work on
Our research spans the questions that matter most for building AI systems people can understand, measure and trust.
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01
Learning & generalization
How models acquire knowledge and skills from data, why they generalize, and where that breaks down.
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02
Reasoning & agents
Systems that plan, use tools and act reliably over long horizons — and how to tell when they are actually reasoning.
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03
Interpretability
Opening up trained models to understand the mechanisms behind their behavior, not just the outputs.
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04
Safety & robustness
Failure modes, reliability under distribution shift, and behavior under adversarial pressure.
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05
Evaluation
Measurement that tracks real capabilities, with benchmarks and methods that hold up to scrutiny.
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06
Efficient AI
Capable models that need less compute, data and energy to train and run.
Work
What we build
Beyond research, we build the tooling that makes AI systems observable, testable and understandable. The interfaces below are illustrative examples of these kinds of systems.
Quality assurance
AI QA dashboard
Automated test suites for model quality, rolled up into pass rates and regressions so teams can release with confidence.
Evaluation
Benchmarking & evaluation harnesses
Reproducible harnesses that compare models and versions side by side on the tasks that matter.
Interpretability
Model inspection tools
Visual tools for examining attention and internal features, to see why a model produced a given output.
Safety
Red-teaming & robustness reports
Systematic adversarial testing that tracks how attack success rates change from one model version to the next.
Agents
Agent trace analysis
Step-by-step timelines of agent runs — tool calls, retries and failures — for debugging and evaluation.
Session
VLMs for automation workflows
How vision-language models replace brittle template-and-rule pipelines, and how to add them to your workflows reliably.
Approach
How we do research
Careful with claims
We say what the evidence supports and no more, and we are explicit about what we do not yet know.
Grounded in experiments
Ideas earn their place through controlled, reproducible experiments rather than intuition or trend.
Built to be useful
We aim for findings that other researchers and practitioners can build on and put to work.
About
A small name for a big question
Femtosol is an AI research company. We are interested in the details: the mechanisms inside models, the edge cases in evaluations, and the small differences that decide whether a system works.
We believe progress in AI depends on understanding it more deeply, and we organize our work around that goal.
Contact
Let’s talk about research.
Collaborations, project inquiries, press, or questions about our work. Send us a message and we will reply by email.
Prefer email directly?
hello@femtosol.com