LLM integrations, computer vision, workflow automation, and predictive analytics - built by engineers who deploy AI systems that stay running and keep improving.
Here's what I recommend:
Here's what I recommend:
Trusted by companies that ship production software on deadline
















From chat interfaces to data pipelines - we embed AI capabilities that automate workflows, surface insights, and scale with your business.
LLM-powered assistants that understand context, handle multi-turn conversations, and integrate with your product workflows out of the box.
End-to-end data processing with intelligent routing, error handling, and human-in-the-loop fallbacks that keep your workflows running 24/7.
ML models trained on your data that forecast demand, detect anomalies, and surface patterns your team would otherwise miss.
From LLM-powered features to fully automated workflows - we design, build, and deploy AI that integrates cleanly with your existing product and infrastructure.
ChatGPT, Claude, and custom model integrations embedded directly into your product workflows and user experience.
Image recognition, OCR, and video analysis pipelines that extract actionable data from visual content at scale.
AI agents that automate repetitive business tasks - from data entry to document processing to approval chains.
Conversational AI for customer support, onboarding, and internal tools - trained on your data, deployed in your product.
ETL workflows, real-time data streams, and analytics pipelines that turn raw data into business decisions.
ML models for demand forecasting, churn prediction, and decision support - validated against your actual business metrics.
We validate models with your real data, build reliable pipelines, and deploy with monitoring - so your AI actually works in the wild.
We evaluate your data quality, define success metrics, and select the right model architecture - whether that's a fine-tuned LLM, a custom vision model, or an off-the-shelf API.
Each sprint delivers a working pipeline you can test with real data. We iterate on accuracy, latency, and edge cases until the model meets your quality bar.
We ship to production with automated monitoring, alerting on model drift, and A/B testing infrastructure so you can measure real impact.

Renting is local, so search had to understand a place and a date range as one question rather than two filters. Mirimera built the marketplace and the software our suppliers run on, and because it is one system underneath, nothing has ever had to be kept in sync.
- Pablo
CEO, Big RentalsWe use battle-tested ML and data infrastructure so your models launch fast, scale reliably, and stay accurate long after deployment.
GPT-4 and embeddings API for text generation, classification, and semantic search.
The language of ML - with NumPy, pandas, scikit-learn, and the full data science ecosystem.
Google's ML framework for training and deploying models at production scale.
Meta's deep learning framework preferred for research and rapid model iteration.
Framework for building context-aware, reasoning-capable LLM applications with tool use.
Event streaming platform for real-time data pipelines and high-throughput AI workloads.
Book a free 30-minute call. We'll assess your data, recommend the right AI approach, and tell you honestly if we're the right fit.