Results for forward-thinking brands
Turn finance, support, and knowledge into conversational AI that is private and tuned to your needs.
We build secure connectors using MCP, APIs, and databases so your business data becomes accessible to LLMs while keeping full control and compliance.
Using embeddings, RAG pipelines, domain fine tuning, and prompt design, we make sure answers are relevant, accurate, and aligned with your language.
Whether cloud hosted or on premise, we set up LLM servers, manage versions, monitor performance, and optimize costs so you can focus on using, not maintaining.
We focus on one project at a time, meaning you and your idea get our undivided attention, as we believe this generates the best results.
We explore your data sources, business metrics, privacy needs, and user personas. You get a clear map of opportunities and risks.
A small working version that connects a key data source, builds a simple interface, and tests latency, accuracy, and usability.
Refinement and scaling with connectors, embedding pipelines, user roles, compliance, a full UI or API, and rollout.
After launch we monitor usage, adjust prompts and data flow, manage model versions, refresh embedding indexes, and respond to feedback.
We connected accounting data and invoices into a private LLM server. The team can now ask natural language questions about expenses, forecasts, or compliance and receive instant, accurate answers. No more manual report pulling.
We built a support assistant that connects to past tickets, product manuals, and CRM data. Support agents now resolve questions in seconds with AI suggested answers, reducing average handle time and improving customer experience.
We connected IoT devices, GPS trackers, and internal asset logs into a single AI powered platform. Businesses now monitor their vehicles, equipment, and inventory in real time. The system detects anomalies, predicts maintenance needs, and prevents loss.
Automate compliance checks, detect fraud, and give customers instant answers they can trust.
Personalize shopping experiences, manage inventory smarter, and provide faster support.
Forecast demand, optimize routes, and track assets with real-time insights.
Prevent downtime with predictive maintenance and improve efficiency on the factory floor.
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