Pelora builds infrastructure that turns your data and task descriptions into specialized AI models - dramatically reducing the cost and time of model development.
Organizations increasingly need models adapted to their own data, domains, and workflows. But today, creating a specialized model is slow, expensive, and requires deep ML expertise - often across multiple costly iterations before anything useful is ready.
Fine-tuning and retraining require GPUs, infrastructure, and repeated experiments before a useful model is ready.
Every new task, customer, dataset, or domain requires another training cycle - slowing down product development and deployment.
Building reliable custom models requires deep ML expertise, careful evaluation, and non-trivial engineering effort.
Pelora replaces the conventional model development cycle with a new kind of infrastructure - one that understands tasks and data, and produces specialized models with a fraction of the usual effort.
The system reads your task description and examples to understand precisely what the target model needs to do.
Pelora produces a specialized model directly - no manual training pipeline, no infrastructure to manage, no repeated experimentation.
The resulting model can be tested on real data and deployed immediately - or iterated on rapidly if requirements change.
Any team building AI on top of domain-specific data - whether in science, engineering, or industry - can get a specialized model without a full training infrastructure.
Create models specialized for internal documents, customer support, compliance, legal workflows, or proprietary knowledge.
Accelerate experimentation and reduce the overhead of producing specialized models across many tasks and benchmarks.
Pelora is founded by Ben Shapira and Roi Cohen. Our work spans language models, model reliability, biomedical AI, adversarial robustness, and production ML systems. We combine frontier AI research with practical experience building and evaluating real-world AI systems.
We are speaking with AI teams, research labs, and companies that repeatedly train or customize models. If this sounds like you, we'd love to talk.
Contact Pelora