AI & Machine Learning
Production AI, Built to Ship
We design and deploy LLM applications, computer vision, and predictive ML systems - and the infrastructure to run them reliably at scale. Real models in production, not proofs of concept that stall.
Start an AI Project
What We Build with AI
Four focused practices, each grounded in systems we have shipped to production - not generic "AI strategy" decks.
Generative AI & LLM Solutions
Build production LLM applications that turn natural language into business value - RAG pipelines, conversational assistants, and natural-language interfaces over your own data. We work with OpenAI, LangChain, LlamaIndex, HuggingFace, and self-hosted models via Ollama, serving them through fast, scalable APIs. From document Q&A to internal copilots, we ship intelligent features that your team and customers actually use.
Computer Vision
Turn images and video into real-time decisions with computer vision systems built on OpenCV, TensorFlow, and PyTorch. We design object detection, recognition, and video analytics pipelines that run reliably at scale - from quality inspection and automated monitoring to systems that cut detection latency from minutes to seconds across hundreds of camera feeds.
Predictive ML & Decision Engines
Operationalize machine learning where it moves the bottom line: credit scoring, risk decisioning, demand forecasting, and predictive analytics. We build and train custom models with PyTorch, TensorFlow, and scikit-learn, and engineer large-scale feature and scoring pipelines on PySpark and Spark that power automated decisions across thousands of downstream systems.
MLOps & AI Infrastructure
Get models out of notebooks and into dependable production. We build the infrastructure around AI - model serving, data and training pipelines with Apache Airflow, streaming with Kafka, and containerized deployment on Kubernetes - with monitoring and reproducibility so your AI keeps performing after launch.
AI in Production, Not Slideware
Real systems our team has shipped - with the scale, latency, and timelines that matter.
Conversational AI / Cybersecurity
SecurityScorecard
12M+
Companies queryable in plain English
6 weeks
Concept to production
AWS K8s
Scalable serving layer
The challenge
A massive security-ratings dataset covering more than 12 million companies was locked behind dashboards and report builders that only technical analysts could use.
What we built
Our team built an LLM-powered conversational interface that answers natural-language questions over the security-score data, backed by a retrieval layer and served through a fast API. It went from concept to production deployment on AWS Kubernetes in six weeks.
The result
Analysts query complex cyber-risk data conversationally instead of hand-building reports - the same retrieval-augmented pattern we bring to clients in regulated, data-heavy industries.
- LangChain
- HuggingFace
- FastAPI
- AWS
- Kubernetes
Predictive ML / Fintech
Serasa Experian
1000s
Lenders served
Real-time
Automated credit decisions
Explainable
Auditable model outputs
The challenge
One of Latin America's largest credit bureaus needed credit decisioning that stayed consistent and explainable while scaling across thousands of financial institutions.
What we built
Our team led development of a machine-learning credit engine combining large-scale PySpark feature pipelines with neural-network models that score creditworthiness in production.
The result
Automated, consistent, regulator-ready credit decisions at national scale - the kind of feature engineering and deep learning we apply to turn raw financial data into reliable decisions.
- PySpark
- Neural Networks
- Python
- Big Data
Computer Vision / Public Safety
Multiway
5min → 30s
Fire-detection latency
100s
City cameras processed live
Real-time
Automated event detection
The challenge
Hundreds of city cameras produced live video that no human team could monitor fast enough to act on incidents in time.
What we built
Our team designed real-time computer-vision pipelines - automatic license-plate recognition and event detection - that process live video at city scale on OpenCV with TensorFlow and Keras.
The result
Passive camera feeds became an active public-safety system - a near order-of-magnitude latency improvement we reuse anywhere live video must drive instant decisions.
- OpenCV
- TensorFlow
- Keras
- Python
The AI Stack We Build On
Production-grade tools we use to take models from prototype to dependable, scalable systems.
LLMs & Generative AI
- OpenAI
- LangChain
- LlamaIndex
- HuggingFace
- Ollama
ML & Deep Learning
- PyTorch
- TensorFlow
- Keras
- scikit-learn
Computer Vision
- OpenCV
- TensorFlow
- PyTorch
Data & MLOps
- PySpark
- Apache Spark
- Apache Airflow
- Kafka
- Kubernetes
AI Questions, Answered
The questions teams ask us most before starting an AI project.
A Technology Partner Built Around Your Operations
Senior technology professionals who work the way your business runs - with clear scope, direct communication, and accountability for the result, not just the activity.
Senior Expertise, Direct Access
You work with seasoned technology professionals - not a junior team learning on your time. The people scoping the work are the people doing it.
Defined Scope and Response
Clear deliverables, agreed timelines, and predictable response times for ongoing support. You always know what to expect and who to talk to.
Direct Communication and Alignment
No account-manager filter between you and the work. We participate in your team channels as needed and keep business outcomes at the center of every decision.
Outcomes, Not Activity Reports
Every engagement is scoped around concrete results your business can verify - reliable systems, completed implementations, and operations that hold up over time.
