
REDUCE AI COSTS BY 80%+ WHILE IMPROVING SECURITY & PERFORMANCE
The first Small Language Model performance layer that AI research applications teams love.
INTRODUCING FIBER by Maniac.
Optimizations
Always SoTA.
Maniac runs experiments and evaluations on live traffic, then auto-promotes winners so improvements land continuously.
Integrations
Your Stack, Not Ours.
Plug in the evals, RAG, fine-tuning, and observability you already use. OpenAI-style endpoints keep integration simple, and the stack stays vendor-neutral.
Evaluations
Plug in custom evals.
Optimize to your real objective—domain judges, human feedback, or custom metrics. Maniac evaluates variants against those signals and learns to favor what actually moves the needle.
Routing
Smarter routing, better performance.
Route to experiment variants, not base models. As soon as an optimized model outperforms your flagship, routing switches seamlessly. You don't change a line of code.
USE CASES
E-Commerce
100x cheaper models, tuned to your catalog
- Generate synthetic product data at scale
- Run relevance tuning and attribute extraction
- Deploy models specialized to your unique catalog
Legal
On-prem by default: your IP stays yours
- Summarize contracts and classify clauses automatically
- Generate discovery-ready datasets in minutes
- Run redlining and risk scoring with template-aware models
IT
Measure ROI and optimize every task
- Auto-triage tickets with SLA-aware routing
- Generate synthetic logs for testing at scale
- Execute remediation runbooks with cost-optimal agents
Usage
Evaluate and Optimize Return on Intelligence (ROI) with Agent Containers.
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