what we do
Next-Gen AI, Local LLMs & Smart Automation
From workflow orchestration with n8n to private local LLMs like Gemma and GPT-OSS, we build intelligent systems that keep your data secure and your business future-ready.
Apps
AI-Powered Applications
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Automations
Intelligent Automation
n8n as a core solution to create unique combinations of solution chains
Models
Local & Private LLMs
gemma by Google, gpt-oss by Open AI and almost anyone from huggingface
your gains
Outcomes & impact
We’ve gone over everything you could possibly want to have. You are one step closer to success
Law firm intake (n8n + Local LLM)
Multilingual intake, conflict checks, FAQ answers, and auto-scheduling. ~60% less manual screening with complete conversation history for attorneys.
Court decisions analytics (Gemma)
Thousands of rulings processed and auto-tagged by topic/jurisdiction; precedent patterns surfaced; concise summaries generated in hours, not weeks.
Finance reports (n8n + Local LLM)
Month-end consolidation automated across multiple systems; leadership receives clear, explainable summaries and supporting extracts—~80% faster.
Support desk drafts (Local LLM)
Ticket triage and “first-best-draft” replies while preserving agent approval. Backlog stabilized with measurable SLA improvements.
Start with a technical discovery
Questions and answers
Can you deploy fully on-prem?
Yes. We support both on-prem and VPC. Sensitive data never leaves your perimeter unless you choose to enable a specific integration.
Which models do you support?
Gemma, GPT-OSS, and other open-source LLMs. We select model sizes and quantizations that match your latency, quality, and hardware budget.
How do you integrate with our stack?
Through n8n: connectors for CRM, DMS/EDRMS, calendars, email, e-sign, and databases. We implement custom nodes or middleware where needed.
Do you keep humans in the loop?
Always. We design review steps, approvals, and version control so experts stay accountable and outputs remain explainable.
What does a typical timeline look like?
Discovery: ~1–2 weeks. Pilot: ~2–4 weeks. Deployment and scale vary by scope and integration count.
How do you measure success?
We define KPIs during discovery (e.g., response time, drafting time, accuracy thresholds, throughput) and report against them.
