Company knowledge assistant
Employees query internal policies, tickets and documents and get answers with the source passage attached.
Applied AI laboratory
AI built around your data, your rules, your outcomes.
QBX Labs designs, trains and deploys AI systems for organizations that need accuracy, security and a clear return. We run the engineering so your team can focus on the decisions.
Every question, one cell of your data
Companies and Projects
A small team of engineers and data scientists.
We combine machine learning, software engineering and domain expertise to turn hard, messy problems into systems people use every day.
Who we are
Data scientists, software engineers, domain experts and analysts working as one team, from first prototype to production.
What we do
Prediction, recommendation, anomaly detection, document understanding and language models, matched to the problem instead of the trend.
How we work
Short cycles, working software every few weeks, and results measured against the business number you care about.
Where QBX fits.
The same engineering approach carries across sectors. What changes is the data, the regulation and the definition of a good result.
Financial servicesRisk, compliance, forecasting
HealthcareRecords, triage, claims
ManufacturingQuality, predictive maintenance
Energy and utilitiesDemand, asset condition
InsuranceClaims, fraud, underwriting
Retail and supply chainDemand, inventory, logistics
Legal and professionalDocument review, search
Software teamsCode, testing, modernization
What we build.
A set of building blocks we assemble for each client. Bring your own data, keep it inside your boundary, and ask questions in plain language.
Private LLM
Ask your own data
Language models connected to your documents and databases, deployed in your cloud or on premises.
Prediction
Models without the backlog
Forecasting and classification pipelines with monitoring, retraining and clear explanations of each result.
Documents
Read, extract, summarize
Contracts, claims, reports and records turned into structured data and answers to your own questions.
Code
AI-assisted engineering
Generation, review and test automation that fit your standards, repositories and release process.
Decisions
Scenario and risk analysis
Models that combine data with business rules so leaders can compare options before committing.
Edge
Models near the sensor
Compact models running on devices and gateways for monitoring where connectivity is limited.
Project areas.
Representative problem types we take on. Case studies for specific engagements will be added as they are published.
Regulatory report drafting
Structured data and case notes assembled into draft reports for analyst review.
Failure prediction for equipment
Sensor history and downtime records used to flag assets before they fail.
Legacy code migration
Analysis and conversion of older systems with automated tests to confirm behavior is unchanged.
Claims triage
Incoming claims scored for risk and routed to the right handler.
Forecasting and reconciliation
Time-series models and automated checks for figures that have to add up.
Ready to see it on your data?
hello@qbxlabs.com