We build AI systems for clients. These are what came out of it.
Armada, Shagl and our open models started as infrastructure for client work. Now anyone can use them.
Three products, one engineering team.
Armada serves inference, Shagl automates growth, and Open Models are the checkpoints we quantized along the way.
Production AI inference, without the H100 tax.
Most inference platforms bill datacenter-GPU rates for workloads that run fine on cheaper silicon. Armada runs client workloads, and now anyone’s, on a focused lineup of RTX 6000, RTX 5090, RTX 4090 and H20 GPUs.
LLM inference
Qwen, DeepSeek, Llama and more. vLLM and TensorRT-LLM runtimes, OpenAI-compatible endpoints, tool use.
Image & video
SDXL, Flux, Stable Video Diffusion and ComfyUI workflows deployed as autoscaling endpoints.
Transcription
Whisper-large-v3 and NeMo runtimes with diarization, timestamps and streaming.
Real-time voice
Low-latency STT to LLM to TTS pipelines for voice agents, streamed over WebSocket.
Embeddings
BGE, E5, Nomic and OpenAI-compatible endpoints with batching and reranking.
Custom & fine-tuned
Bring a checkpoint, a Docker image or a fine-tune. We cache it and give you an endpoint.
One narrative in, nine channels out.
Shagl grew out of two internal engines we built to solve our own growth problem: distributing content across every platform while keeping SEO structure clean.
- Manual rewriting for every platform’s format, tone and length
- Publishing cadence slipping whenever the team got busy with client work
- Keyword mapping, metadata, headings, FAQs and internal linking done by hand
- Brand activity that couldn’t grow without growing headcount first
- Turns one narrative into platform-ready posts for nine channels: threads, Shorts, TikToks, a pillar article
- Generates SEO-ready drafts with metadata, headings, CTAs, FAQs and internal linking applied automatically
- Schedules and publishes on a defined cadence, with human review before anything goes live
- Reuses every article, case study and campaign asset instead of publishing it once
Built for B2B marketing teams, agencies running content for multiple clients, and any content-driven company that wants to stay active without growing the SMM team in lockstep. Strategy and approvals stay human; Shagl replaces the repetitive execution around them.
The quantization work, made public.
Every inference project runs into the same wall: the model that performs best is too big or too slow to serve cheaply. We quantize open models to solve that for client work, and publish the checkpoints as we go.
Cheaper to run
Lower VRAM requirements mean these checkpoints run on smaller, cheaper GPUs, including on Armada.
Free to use
Every checkpoint is published open: free to download, run and fine-tune.
800+ projects. A few worth reading in full.
We maintain a full case study library. These are a handful spanning the industries we work in most.
Retail / AI
AI-powered retail recommendation system
Personalized product discovery for a multi-store retailer.
Read case study
AI / Forecasting
90% forecast accuracy for a retailer
AI-powered demand forecasting for a retailer in Moldova.
Read case study
E-commerce
1 million parts, 1 streamlined solution
Enterprise software for a Mercedes-Benz parts catalog.
Read case study
FinTech
AI loan underwriting & credit scoring
Automated credit decisions for digital lenders.
Read case study
Logistics
Logistics visibility platform with an AI agent
Shipment tracking and exception handling, automated.
Read case study
FinTech / AI
AI-powered banking support chatbot
24/7 digital customer experience for a bank.
Read case studyArmada, Shagl and our models prove we run production AI. Our client work proves we’ve been doing this for two decades.
Building custom software and AI systems since 2007. The products above are recent; the track record is not.
“Understood exactly what we needed and delivered with a lot of professionalism.”
“Their work played a real role in T-Rize’s success; the results went beyond what we expected.”
“We built a system that now serves more than 40 million connected channels.”
“Easy to work with, adapted smoothly to our existing workflows, delivered everything promised.”
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