Built from 1.2 million curated training pairs.
Cooked on 128 RTX PRO 6000 GPUs — owned, not rented.
Anyone can fine-tune a model.
Very few can maintain one.
Models drift.
Data decays.
Signal degrades quietly.
Compute scales noise.
Curation scales signal.
SwarmCare ensures your AI stays sharp — not just launched, but disciplined.
We don't sell training runs. We engineer signal.
Domain-specific pair assembly with math verification, deduplication, and quality gates.
Multi-step reasoning chains verified against domain ground truth. No hallucination passes.
Precision adaptation on sovereign compute. bf16 LoRA, phase-gated training, reproducible runs.
SwarmJudge enforcement. Every output scored, every regression caught, every phase gated.
Continuous signal tracking. Score degradation triggers automatic reinforcement cycles.
Production outputs become training data. The model improves from its own verified work.
GGUF quantization, BeeBox appliance integration. Your model runs where your data lives.
Designed for builders, operators, and vertical AI teams.
Launch your first agent with signal discipline.
Start clean. Build correctly.
Maintain 1–5 agents with continuous reinforcement.
Your agents evolve with your business. Signal stays aligned.
Turn your domain into defended intelligence.
Your model becomes your competitive advantage.
Enterprise-grade vertical AI infrastructure.
For teams building AI as core infrastructure. Contact us.
Real Compute. Real Objects. Real Signal.
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