We build language models that run anywhere — locally, privately, at the speed of thought. Lambert is our first.
Our flagship model
12.7 MB, with tools, web search and four effort levels. Small enough for any CPU. No cloud. No latency. Just intelligence, wherever you need it.
What is photosynthesis?
Photosynthesis is the process by which plants convert light energy into chemical energy.
Research
SNNs process through sparse, event-driven spikes — up to 100× more efficient than dense transformers for suitable workloads.
Custom silicon designed natively for SNN workloads. No GPU overhead — hardware that mirrors the brain's own architecture.
Distillation, quantization, and architecture search squeeze maximum quality from minimum parameters. Scale isn't required for intelligence.
Versatile is a zero-shot classification engine for text, image, audio and video. No training, no examples - you give it labels and it gives you typed answers back. Three speed tiers, from 5.5 ms, self-hostable.
AnnouncementTalos is a backend you describe instead of write: your tables, your rules in plain language, and one sentence per URL. A small model turns each sentence into a query plan. Available today on npm.
AnnouncementNestor 1.1 is our new small model: 12.7 MB, four effort levels, tool calling and web search. Available today in Korollr chat and through the API.
Roadmap
Start of our research program on Spiking Neural Networks — exploring spike-based computation as an alternative to dense transformer attention.
Release of our first proof-of-concept models: Axiom, Lemma and Theorem. Three architectures built on SNN-inspired principles, publicly available for testing.
Start of product development around Lambert — building real-world applications and tooling on top of the model series.
Target: partnerships with research labs that have access to neuromorphic chips. Goal is to run our SNN models on dedicated hardware for the first real benchmarks.
Partnerships with companies building everyday appliances — air fryers, robotic vacuums, and similar edge devices — to deploy ultra-low-power Lambert inference on-device.
Production deployment of Lambert on neuromorphic silicon. No GPU, no cloud — just efficient, always-on intelligence running natively on dedicated hardware.
Start a conversation with Lambert. No account, no cloud, no latency.
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