Distill your Agents into Small Task-Specific Models.
LLMs don't cut it for production, but developing SLMs takes forever.
The SpecificAI platform automatically distills task-specific prompts into small task-specific models.
Distilled models improve quality and security while reducing latency and cost by up to 99%.
SpecificAI is a self-hosted enterprise platform that automatically distills LLMs, like GPT, Claude or Gemini, into compact, task-specific models that deliver comparable accuracy at a fraction of the cost. No ML team required.
The problem: You've built AI agents and workflows powered by commercial LLMs. They work, but every API call costs money, adds latency, produces inconsistent outputs, and sends your data to a third party. You don't own the model, you can't control its behavior, and as you scale, these downsides compound.
The solution: SpecificAI provides a platform that creates task-specific models out of your agents, one that runs entirely in your environment, with consistent outputs and no ongoing API dependency.
Contact us: For any questions or support needs, reach out at support@specific.ai.
Highlights
High-quality, cost-effective task-specific models.
Better quality than generic LLMS.
Create task-specific models at scale, no data science knowledge required.
Up to x3000 cheaper cost per token. Unlimited scale - replace token economics with compute cost. SaaS is back to what it used to be.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This contract charges by a single dimension: the number of unique models. You pay based on how many small language models you deploy or download through the platform. Pricing scales directly with model count, so your cost grows as you create more task-specific models. There are no separate tiers or instance sizes. You commit to a set quantity of models under the contract term, and the fee reflects that volume.
Top-of-mind questions for buyers
What counts as one model unit for billing purposes?
A model unit is one unique small language model you deploy or download through the platform. Each task-specific model you create counts separately. Since each task typically needs at least one model, your unit count grows with the number of distinct tasks you distill.
Does redeploying or retraining the same model add to my model count?
The unit measures unique models deployed or downloaded. The platform alerts you when retraining is due. Retraining refreshes an existing model rather than creating a new distinct one. For exact counting of retrained versions against your total, confirm the specifics with the vendor.
Does downloading a model for use outside the platform still count as a billed unit?
Yes. The unit covers models deployed or downloaded through the platform. You can host distilled models on your private cloud, edge devices, or your own inference systems. Whether served by the platform or downloaded elsewhere, each unique model counts toward your total.
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Version release notes
Minimal single-deployment chart for validation testing
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