You will get LLM Production Hardening Sprint
Project details
Bolting a guardrail onto a flaky LLM is a band-aid. We treat reliability as a system: inference-time guardrails that enforce the behavior you define in plain language, a custom eval suite that catches regressions before release, and drift monitoring that flags degradation before your users feel it.
What sets us apart: inference-time control is the entire focus of our work, not one item on a long service menu. We live in the gap between a model that demos well and one you can trust in production — and we've proven it in the hardest environment there is, supporting an AI deployment trusted by 30,000+ doctors. You keep your existing model; we make it safe to scale.
What sets us apart: inference-time control is the entire focus of our work, not one item on a long service menu. We live in the gap between a model that demos well and one you can trust in production — and we've proven it in the hardest environment there is, supporting an AI deployment trusted by 30,000+ doctors. You keep your existing model; we make it safe to scale.
What's included
| Service Tiers |
Starter
$2,500
|
Standard
$6,000
|
Advanced
$10,000
|
|---|---|---|---|
| Delivery Time | 7 days | 21 days | 28 days |
Number of Revisions | 0 | 0 | 0 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - | - | - |
About Shahar
Custom Adaptable Model Development
Atlanta, United States - 6:06 pm local time
At Axionic, we give you the right chisel for the job you need.
Axionic Labs is a frontier research lab that builds custom Adaptable Language Models (ALMs) - small, application-specific language models engineered for deterministic, reliable outputs on the tasks you can't leave to chance, at 1/100th the cost of frontier models like Claude or ChatGPT.
Instead of forcing a giant general-purpose model to fit your use case and hoping it behaves, we ship a model that does exactly what your application needs, every time.
Where we excel:
• Custom ALMs — purpose-built small models with predictable, repeatable outputs, tuned to your domain and your data
• AI reliability audits & evals — we pinpoint where your current system hallucinates, drifts, or fails before your users do
• Inference-time guardrails & policy enforcement — define the behavior you want in plain language; we enforce it at runtime
• Drift monitoring & auto-correction — catch and fix degradation in production before it costs you
• Production hardening for regulated AI — built for the realities of healthcare, legal, fintech, and autonomous agents
What sets us apart: we live at the inference layer - the gap between a model that works in testing and one you can trust in production. It's the hardest, highest-stakes part of shipping AI, and it's all we do.
Proof: we built the models and the control layer behind a healthcare AI deployment trusted by 30,000+ doctors. (Arogya Labs)
If you're shipping AI where a wrong answer is expensive - clinically, legally, financially, or otherwise - send us your hardest reliability problem and we'll tell you exactly how we'd solve it.
Steps for completing your project
After purchasing the project, send requirements so Shahar can start the project.
Delivery time starts when Shahar receives requirements from you.
Shahar works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff and Policy Definition
capture the rules and behavior you need enforced
Intake
review your current LLM setup, prompts, and example failures