Data engineering · Analytics · AI assistants

Data your team can put to work.

Tech Liberty Inc connects fragmented data, improves its quality and turns it into dashboards, analytical models and AI assistants. We pair implementation with testing, documentation and training so your team can maintain what we deliver.

12
Disciplines
3
Practice areas
4
Step delivery
1
Accountable team

Cloud and software, built to last

Migrations, custom applications, data platforms, and the automation that keeps them healthy.

Systems engineering

Integration work between the systems nobody wants to own.

Training built into delivery

Your team learns the system while we build it, not after we leave.

Handover is the deliverable

Runbooks, documentation, and trained staff ship alongside the code. A finished engagement leaves you independent.

Connected systemsConnecting people, systems, and the work that depends on both.

Data and AI capabilities

From source systems to clearer decisions.

Architecture, integration, analytics and user experience delivered as a connected solution.

Data architecture and warehousing

Design data models, reporting datasets and warehouses that bring source information into a documented foundation.

Integration and data quality

Connect databases, files and APIs. Build cleaning, duplicate detection, validation, reconciliation and failed-load recovery into data pipelines.

Dashboards and reporting

Turn stakeholder requirements into Tableau or Power BI views of trends, operational indicators and data quality, with access controls and accessibility testing.

Predictive analytics

Evaluate statistical and machine-learning approaches against available history. Use baseline comparisons, chronological validation and documented uncertainty.

AI assistants for analytics

Help users ask questions, explore approved results and request charts. Our approach combines controlled data access, agreed metrics, source attribution and testing of unsupported questions.

Testing and handover

Test data, integrations and user workflows. Provide operating procedures, deployment guidance and training for independent maintenance.

Our team brings experience with SQL Server, Amazon Redshift, Oracle, MySQL, REST/SOAP integrations, Tableau, Power BI and automated testing. For predictive work, we select suitable Python tools such as pandas/NumPy, statsmodels and scikit-learn to match the data and evaluation needs.

AI assistants complement established dashboards. They work with approved information and access boundaries; generated answers and chart requests are tested before release.

Discuss your data project
What we do

Three ways to bring us in.

Engage a single practice area, or run all three across one program with a single point of accountability.

PRACTICE 01

IT and Technology

Cloud migration, software development, data platforms, DevOps, AI and machine learning, and day to day support.

PRACTICE 02

Engineering

Systems integration, technical project management, and research and development for the harder problems.

PRACTICE 03

Training

Technical, compliance, and leadership programs that make the work stick after the engagement closes.

ALL THREE

Full program

One team across build, integrate, and train, with a single point of accountability from start to handover.

Capabilities

Twelve disciplines, one accountable team.

IT and Technology

6

Cloud Computing and Migration

Move workloads off aging hardware without taking the business offline.

Software Development

Custom applications built to be maintained, not just shipped.

Data Management and Analytics

Warehouse design, ETL pipelines, validation and dashboards using SQL, Python, Tableau and Power BI.

DevOps and Automation

Test gated pipelines that make releasing software boring.

AI and Machine Learning

Predictive analytics and AI assistants that use approved data, with validation and controlled access.

Help Desk and IT Support

Day to day support with response times agreed in writing.

Engineering

3

Systems Engineering and Integration

Making systems that were never designed to talk work together.

Technical Project Management

Delivery leadership fluent in both engineering and the business.

Research and Development

Prototyping the approach before you commit the budget to it.

Training

3

Technical Training

Hands on sessions run against the systems we built for you.

Compliance Training

Regulatory and certification programs, documented and tracked.

Leadership Development

Growing the people who will own these systems after handover.

12
Disciplines in house
3
Practice areas
4
Step delivery method
1
Accountable team
Relevant team experience

Experience behind our approach.

These examples describe participating team members' experience, including work through prior employers. They do not imply agency endorsement or a direct Tech Liberty prime contract.

Food-program data integration

Warehouse design and source integration

Team experience in the FDA Human Foods data environment includes Redshift warehouse design, Oracle/MySQL ingestion, product-name matching, cleaning, duplicate detection and monitored load recovery.

Healthcare analytics

Data validation and analytical reporting

Team experience on CMS-related projects includes PQRS data validation, data dictionaries, predictive modeling, reporting and coordination of development and testing.

Enterprise systems

Integration and business intelligence

Team experience includes enterprise Oracle integrations, REST/SOAP interfaces, business intelligence, production and KPI reporting, integration testing and support runbooks.

Delivery approach

Build it. Validate it. Hand it over.

Discover and design

Agree on objectives, source owners and acceptance criteria. Document architecture, mappings, access and responsibilities.

Build and validate

Implement repeatable integrations and useful analytics. Check source-to-target results, failure recovery, user workflows and accessibility.

Train and transfer

Deliver code, documentation, operating procedures and training, with clear ownership and maintenance responsibilities.

Tell us what is breaking.

Start with the problem. We will tell you honestly whether we are the right team for it.

  • A reply from an engineer, not a sales rep
  • An honest answer if it is not our kind of work
  • No obligation and no drawn out discovery call

We reply from a real inbox, usually within a day.

A couple of sentences is plenty to start.

We reply from a real inbox, usually within a working day.

Message received.

An engineer will read this and get back to you, usually within one working day.