Deep-Tech Laboratory.
Pioneering collaborative networks of edge-optimized Small Language Models (SLMs). We replace massive, costly cloud models with synchronized swarms of specialized micro-models that work together at fraction-of-a-second speeds.
The Collaborative SLM Team
Click any team member or run the workflow to see how four small language models pass work to one another — faster and cheaper than any single large model.
qm-arch-1.8b
Reads brief, decomposes into modular task contracts, routes to peers. All communication over local high-speed IPC — zero cloud egress.
Swarm Economics: Fast, Private, Inexpensive
How Specialized SLMs Outperform Generalist Models
Why deploying specialized teams of lightweight models is the future of sustainable, cost-effective enterprise AI.
Local inference on NPU/GPU registers eliminates HTTP overhead and network queuing completely.
Running small 1.8B models dramatically lowers FLOPS, slashing infrastructure hosting and token bills.
Proprietary code and confidential company data never leave the local boundary or enterprise VPC.
Each model does exactly one job with extreme mastery rather than being a bloated jack-of-all-trades.
Collaborate on SLM Mesh Research
We partner with forward-thinking engineering organizations to deploy private, collaborative SLM teams.