Automatically create small task-specific models

Specific AI is an automatic SLM distillation platform. It delivers production-grade small language models in days, not weeks. Since it’s simple enough for your internal subject matter experts to use, it frees your data scientists to focus on what really needs their attention.

Small language models perform better.

When AI Agents move from prototyping into production, small task-specific models (SLMs) are a fast, reliable and secure choice. While SLM quality is the same or better than its LLM equivalent, size, cost and scale are dramatically better.

Fast

Few milliseconds latency for real-time application responses.

Reliable

Task-specific focus means higher quality and more consistency.

Secure

Host on your own cloud or edge devices.

Cost-Effective

Run on CPUs instead of expensive and highly demanded GPU clusters.

But there’s a catch

SLMs take weeks (or months) to build

SLM creation is an iterative process that takes time; in addition you need at least one model per each task-specific agent.

Building consumes scarce data scientist attention

Data collection, data pre-processing, fine-tuning and evaluation require data scientist time. Subject matter experts, who know what’s needed, can’t do the work.

Given that each task requires at least one SLM, current data scientist capacity can’t meet current and future needs.

Specific AI is an automated distillation platform for SLMs.

Specific AI distills task specific prompts into small task-specific models. We built it so that subject matter experts, not data scientists, can create SLMs within days and at the highest quality.

Specific AI’s SLM quality is the same or better than its LLM equivalent, and its size is exceptionally small, typically 1,000x-10,000x smaller. This means lower costs and better scaling. You can run a small SLM on CPUs in production, rather that costly and capacity-limited GPUs.

Prompt → Distill → Deploy

Automatic SLM distillation saves weeks of work and leverages what subject matter experts already know

01

Bring your prompt & data

Describe the task in a prompt. Add whatever data you've got, whether labeled, unlabeled, or none at all.

02

Drop it into Specific AI

Specific AI automatically scores and selects data, fine-tunes and optimizes hyper parameters, and enables proper validation. 1 to 3 iterations are the typical requirement to achieve quality that’s identical or better than the LLM.

03

Get your model. Test & deploy

Specific AI delivers a production-grade small model. Subject matter experts, not data scientists, can easily test and validate it.

Proven outcomes

10,000x Smaller
A 120M parameter SLM was distilled from a teacher LLM that had more than 1 trillion parameters.

Social media company

23x Less Latency
Specific AI’s SLMs demonstrated 41ms vs 932ms mean latency of an LLM, running entirely on-device with no network calls.

Enterprise company

1000x Cheaper
Retraining a model off a frontier model delivered a 1,000x cheaper production cost using CPUs instead of GPUs, with an improvement in accuracy, precision, recall and F1

Healthcare company

Leverage what your domain experts already know

Using Specific AI is simple enough so that you can deploy the domain experts who know what your agentic workflows need to do, to build your SLMs. This frees data scientist time and ensures better alignment across the organization.

Large choice of models

Specific AI chooses the best models for your SLM, so you can rest assured your SLM is powered by the model that fits it best.

Self-hosted

Distilled models can be deployed via the Specific AI platform and hosted on your private cloud or downloaded for use on your inference systems.

Hi. We’re Specific AI.

We created the first SLM distillation platform.

We believe that AI will transform the enterprise once small language models will be widely used for Agentic AI. Today, most enterprises can’t easily scale SLM distillation, since the process takes up valuable data scientist expertise and takes weeks and even months.

To enable enterprises to benefit from SLMs, we created the first automatic SLM distillation platform. It cuts SLM distillation time from weeks to days, and enables subject matter experts to run the process, freeing data scientists to focus where they are needed most. That’s how organizations will create the hundreds of SLMs they actually need.