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We architect custom automation using large language models, embedding pipelines, and orchestration layers — then deliver interfaces so simple your staff never needs to know what a transformer is. From lightweight task copilots to heavy-duty workflow engines: precise, helpful, and refined.
Discuss Your AutomationWe translate cutting-edge transformer and LLM research into automation your people actually use — eliminating repetitive work without adding complexity to their day.
Our engineers live inside attention mechanisms, token windows, and retrieval-augmented generation — so you don't have to. We build automation that reads like magic to end users and like rigorous engineering to your IT team.
Transformer-native architecture, delivered through interfaces your team will actually adopt.

Extract, classify, and route information from PDFs, emails, and forms using fine-tuned embedding models — no manual data entry, no template babysitting.

Domain-aware assistants grounded in your knowledge base via RAG pipelines. Staff ask questions in plain language; the system retrieves, reasons, and responds with audit trails.

Multi-step automations that chain LLM calls, API integrations, human approval gates, and scheduled triggers — from simple email triage to complex procurement flows.

When classical ML outperforms generative models, we deploy the right tool — forecasting, anomaly detection, and classification with the same engineering discipline.

Structured prompt engineering, JSON schema outputs, and publishing pipelines — the same architecture powering SocialPulse, adapted to your brand and channels.

Webhooks, REST APIs, ERP hooks, WhatsApp bots, and internal tool connectors — AI that slots into your existing stack instead of replacing it.
Email auto-replies, smart form routing, meeting summaries, FAQ bots — quick wins that save hours weekly with minimal infrastructure.
Multi-agent orchestration, document assembly wizards, semantic search over proprietary datasets, and domain-specific copilots with guardrails and human-in-the-loop.
We map your repetitive workflows, data sources, and failure modes — then identify where LLMs earn their place vs. simpler automation.
A working proof in days, not months. Your team tests real outputs before we invest in production hardening.
Guardrails, logging, fallback paths, cost controls, and monitoring — the unglamorous work that separates demos from dependable systems.
Self-hosted or cloud — your infrastructure, your models, your audit trail. We maintain and iterate as your workflows evolve.
Tell us what's eating your hours. We'll blueprint an AI automation path — technical where it matters, effortless where your people touch it.
Discuss Your Automation