Applied AI and data systems that hold up in production.
Machine learning, generative AI, agents and analytics — designed around measurable business workflows.
The model is rarely the hard part.
Durable AI depends on clean data, evaluation, access controls, cost management and someone accountable for quality over time. We build the whole system — pipelines, models, interfaces and monitoring — and we are candid when a simpler approach will do the job better.
What we deliver
AI engineering
LLM applications, retrieval systems and structured generation integrated into your products.
AI agents & automation
Task-specific agents with guardrails, human review and audit trails.
Machine learning
Classification, forecasting, ranking and anomaly detection on your data.
Data engineering
Warehouses, lakehouses, pipelines and the governance that keeps them trustworthy.
BI & dashboards
Metrics layers and dashboards executives use, not just admire.
Applied statistics
Experiment design, causal analysis and predictive modeling with stated uncertainty.
MLOps
Model deployment, evaluation pipelines, monitoring and retraining.
Workflow automation
Document processing, routing and back-office automation with measurable throughput gains.
AI strategy
Use-case prioritization, build-versus-buy and governance frameworks.
Choose how we work together.
- Evaluation sets defined before build begins
- Cost-per-task and quality reported continuously
- Deployment inside your security boundary where required
Individual specialists embedded in your team and processes.
Best when: You have leadership and need capacity.
A cross-functional team that works exclusively on your product.
Best when: You need sustained output over quarters, not weeks.
Scoped delivery with BRICS Dev accountable for the result.
Best when: You know the outcome and want one accountable party.
Strategy, architecture and operating-model advisory.
Best when: The decision matters more than the code.
US, nearshore and global professionals in one arrangement.
Best when: You need balance between proximity, cost and coverage.
Common questions
Which models and platforms do you use?+
How do you handle sensitive data?+
Can you start with a pilot?+
Who owns the work product?+
Tell us about the work.
Five fields and a short description. We reply with questions, not a sales script.
Tell us what you need to build.
A short conversation is usually enough to tell whether we are the right partner. If we are not, we will say so.