0%
Cost reduction vs frontier LLM
0x
Faster inference on-device
0%+
Domain accuracy
<0ms
Avg response latency
Every API call ships your data to a third party, adds 2 seconds of latency, and builds the vendor's model — not yours.
$50K+/month
A single LLM use-case at scale. Unpredictable pricing, no path to ownership.
2 sec+ latency
Round-trip cloud inference kills real-time apps — chat, search, triage can't wait.
Zero data control
Every call sends proprietary data to a third party. No audit trail, no compliance.
Request Flow
Incoming Request
User / App
Smart Router
Intent classifier
Specialist SLM
Domain-trained
Security Layer
Policy check
Response
<200ms
Wrap your existing code. We capture intelligence, build your SLM, and shift traffic automatically.
Choose from pre-trained industry SLMs. Our drop-in middleware logs data and reasoning traces from your existing LLM calls — zero latency impact.
Teacher models critique, refine, and synthetically augment your data — then fine-tune SLMs to your exact domain needs. Your data, your model.
One API routes to the right specialist automatically. Run your fine-tuned SLMs in private cloud, at the edge, or directly in users' browsers.
Real enterprises replacing expensive LLM workflows with sovereign SLMs.
Before
Manual ICD-10 coding: 8 min/chart. LLM API costs $42K/month for 500K charts.
After
SLM processes charts in 120ms at $3K/month — 93% accuracy, fully HIPAA compliant.
Before
LLM-assisted triage adds 2s latency and sends PII to a third-party API.
After
On-prem Claims SLM routes in <200ms with zero data leaving the perimeter.
Before
GPT-4 review costs $18/contract and misses jurisdiction-specific clauses.
After
Fine-tuned Contract Reviewer catches 40% more non-standard clauses at $0.80/contract.
Before
Cloud LLM re-ranker adds 600ms to every query. At 10M queries/day, costs are prohibitive.
After
In-browser Search SLM runs in 15ms with zero server cost. Works offline.
Same model, same API — cloud, edge, or browser with a single command.
Deploy to your own VPC on AWS, GCP, or Azure. Multi-LoRA serving for hundreds of fine-tuned variants on a single GPU.
Run quantized INT4/INT8 models on edge hardware. Sub-millisecond inference without network round-trips.
Ship models as WASM bundles directly to users' browsers. Zero compute cost, complete data privacy, works offline.
Side-by-side across every dimension that matters.