Track record

What our team has already delivered.

These systems were designed and deployed by the members of our team, over the course of their careers — in production, in demanding environments.

Anonymized cases

Deployments in demanding environments.

Client identities remain deliberately confidential — the substance and the results, however, are entirely real.

Legal

Legal intelligence platform

A South American state court system

Lawyers and judges instantly search, retrieve and analyze judicial cases and legal precedents. Data pipelines, multi-agent architecture, conversational UX for natural-language research.

−60 to 80%less legal research time
Documind product
Finance

AI-driven financial market analysis

Applied research in market finance

Quantitative measurement of unstructured financial media (Bloomberg, Yahoo Finance) to track market sentiment and themes at scale. 4,900+ videos transcribed (Whisper), topic modeling and entity recognition — massive video streams turned into actionable analytical indicators in real time. The work has been published on arXiv.

WhisperTopic modelingNER
Telecom

Churn prediction & dynamic segmentation

A major telecom operator · India

Detecting attrition in very high-volume telecom transaction environments, before it happens. Multi-source ETL/ELT pipelines (CRM + transactions), Spark/Hadoop for behavioral feature engineering, real-time risk scoring.

SparkHadoopReal-time
Telecom

Intelligent recommendation systems

A major telecom operator

Moving beyond generic offers to high-conversion, personalized recommendations. Hybrid engine (collaborative + content-based) in TensorFlow, lifecycle automated via Apache Airflow, deployed on AWS. Higher offer adoption and ARPU, lower churn.

TensorFlowAirflowAWS
Government

Government electronic document management

Multi-ministry deployment

A secure digital platform deployed across several ministries to digitize, organize and manage government documents — greater efficiency and transparency. Compliance, auditability, data governance.

−60%+less administrative processing time
Documind product
Payroll

AI payroll audit platform

Human resources

~2,000 pay slips compared every month (t vs t−1), inconsistencies detected and explained — in numerical values as well as text. Domain-adapted LLM systems, multi-agent architecture (tutor, grader, auditor), knowledge graphs and human-in-the-loop.

~70%less audit time

A case close to yours? Let's talk.

We tell you frankly what's transferable to your context — and where to start.

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