[MODELS]
Multimodal Models, Built for the Real World
Reka models are trained from the ground up on our large-scale H100 cluster — purpose-built to understand text, images, video, and audio, and designed for real enterprise applications that demand reliability and scale.
Grounded in Efficiency
Every Reka model is architected for maximum performance per compute — smaller, faster, and more adaptive in real-world environments.
Multimodal by Design
Text, image, audio, and video are understood natively, not stitched together. This gives our models richer reasoning and context awareness.
Tool-Aware Intelligence
Our models don’t stop at language — they use tools, APIs, and systems dynamically to complete tasks and retrieve live data.
Trained for Real-World Reasoning
From scientific problems to creative workflows, Reka models are optimized to reason, plan, and act — not just predict the next word.
[PERFORMANCE]
Built for Every Domain, Tuned for Every Task
Our models combine language, image, video, and audio understanding — powering state-of-the-art applications across industries.
[OUR DNA]
We Are Model Builders.
Each layer, each dataset, each architectural choice is designed for enterprise use, shaped to perform in real-world conditions, not just lab benchmarks.
Built from Scratch
Every model trained entirely on our own H100 compute cluster — no shortcuts, no borrowed weights.
Designed for Deployment
Optimized for real-time performance, streaming data, and deployment across cloud, edge, and custom enterprise environments.
Tailored for You
We can extend, specialize, and fine-tune our models to meet exact use case — because we own every part of the stack.
[LABEL]
We don’t just build models — we engineer systems built for the real world.
Every model we train is designed to handle complexity in motion: live data streams, dynamic inputs, and the multimodal nature of how people and businesses operate.
Real-Time Intelligence
Built to process live and streaming data efficiently, enabling continuous reasoning over dynamic inputs.
Physical-World Grounding
Trained on proprietary data that captures the richness of the physical world — so our models see, hear, and interpret reality.
Agentic Reasoning
Designed to reason, plan, and act. Our models can use tools, understand context, and complete tasks across domains autonomously.
