Our AI & ML Services designed to deliver intelligent, scalable solutions across industries
At Tatras Data, we are an AI services firm committed to driving rapid innovation for our clients. Recognizing the need for speed in leveraging AI, we’ve developed a suite of accelerated platforms that empower businesses to move swiftly from ideation to implementation. These platforms are designed to streamline the adoption of AI technologies, enabling our clients to achieve their strategic goals efficiently and effectively while staying ahead in a competitive landscape.
Generative AI Accelerator
Generative AI/LLM Services
STRATEGY DEVELOPMENT
AND CONSULTING
SOLUTION ARCHITECTURE/ENGINEERING
ADVANCED RAG/LLM OPTIMIZATIONS
MODEL DEVELOPMENT
AND TRAINING
LEVERAGE EXISTING
AI INVESTMENTS
EASE OF DEPLOYMENT
ETHICAL AI AND COMPLIANCE
SECURITY AND PRIVACY
Intelligent Document Processing (IDP)
Key Features of Modern AI-Based IDP Solutions
Automated Document Capture and Indexing
AI-Powered Data Extraction and Processing
Intelligent Document Classification and Tagging
Machine Learning-Based Continuous Improvement
Integration with
Enterprise Systems
Robust Security and Compliance Management
Ideation to Implementation Process
Our “Ideation to Implementation” process guides clients from the initial idea stage to the realization of high-value AI use cases. We collaborate to identify, prioritize, and develop use cases that deliver immediate business value while laying the groundwork for long-term goals. Our proven approach includes creating detailed implementation plans, timelines, milestones, and cost projections, ensuring a structured path to success. With over a decade of experience, Tatras Data has consistently delivered impactful
AI solutions that drive measurable results for our clients.
Data Science Strategy Plan | Data Science IP & Solutions | Mentoring & Development | |
---|---|---|---|
Discover |
Evaluate corporate & functional readiness and undertake competitive analysis to identify data science possibilities. Audit existing data & technology platforms available and identify gaps. |
Understand business needs and scope of Data Science project. Map, catalog and assess data quality. |
Assess current state of data science resources. |
Design |
Define end state vision and create strategic roadmap for data science technologies and applications, including big data architecture needs. |
Assess ML project feasibility & Migrate data per roadmap. |
Create resourcing policy and re-skilling roadmap. Hands-on mentoring of the team on live projects. |
Develop |
Evaluate Big Data infrastructure platforms. Develop data migration roadmap, collect data for future data science projects. |
Develop proof-of-concept (prototype) models & algorithms on sample data. Test & retest. |
|
Develop |
Project Planning |
Deploy scaled up ML models integrated with client technology infrastructure. Train managers & end users on AI tools and outcome validation. |
Train staff on development and deployment requirements. |