GenAI products & copilots
Design and deliver LLM-powered assistants, internal copilots, document intelligence workflows, and AI-enabled experiences tailored to business operations.
AI consulting for modern businesses
Build AI solutions that move from idea to business value.
Tractlytics helps organizations turn data, workflows, and domain expertise into practical AI systems — from GenAI copilots and NLP pipelines to predictive models, intelligent automation, and cloud-scale deployment.
LLMs & AI Agents
RAG & Semantic Search
ML Engineering & MLOps
AWS & Azure Delivery
10+ years
delivering advanced analytics, ML, and AI solutions
Business-first
solutions designed for measurable operational impact
Full-stack delivery
strategy, prototyping, deployment, and optimization
Enterprise-ready
cloud, APIs, privacy-aware architectures, and automation
Services
What we help businesses build
Focused, practical consulting engagements that turn AI ambition into working systems.
NLP, search & automation
Build semantic search, RAG pipelines, text classification, multi-document summarization, and workflow automation using modern NLP and agentic patterns.
Predictive ML systems
Create machine learning solutions for forecasting, fraud, anomaly detection, risk scoring, recommendation, and decision support.
AI architecture & cloud delivery
Architect scalable solutions across AWS and Azure using APIs, orchestration, vector retrieval, data pipelines, and deployment best practices.
Evaluation & reliability
Assess model quality, relevance, factuality, robustness, and operational readiness with structured evaluation, feedback loops, and release discipline.
Executive enablement
Translate AI strategy into actionable opportunities, educate teams, and help business leaders identify where AI can remove friction and create value.
Why teams engage
Modern delivery without unnecessary complexity
Tractlytics combines deep machine learning expertise with pragmatic business execution. Engagements are structured to be clear, fast-moving, and easy for stakeholders to understand.
- Translate business problems into AI use cases
- Prototype quickly and validate with users
- Build for scale, governance, and maintainability
- Hand off cleanly to internal or external engineering teams
Capabilities
Technical depth that supports business outcomes
Selected areas of expertise used to design, build, and deploy production-grade AI solutions.
GenAI & LLM engineering
GPT-4o, Claude, Llama, prompt engineering, fine-tuning comparisons, LoRA, RLHF, and AI agents.
NLP & retrieval
RAG, semantic search, embeddings, vector retrieval, text classification, summarization, and unstructured data analysis.
Machine learning
Statistical modeling, deep learning, fraud analytics, forecasting, recommendation, anomaly detection, and Bayesian methods.
Graph & knowledge systems
Neo4j, graph-based intelligence, optimized query patterns, and data integration for richer decision support.
Cloud & MLOps
AWS, SageMaker, Bedrock, Lambda, API Gateway, Docker, Kubernetes, CI/CD, ETL/ELT, and scalable deployment patterns.
Computer vision & edge AI
Computer vision workflows, real-time analytics, OpenVINO-based deployment, and production-minded model delivery.
Case studies
Examples of work delivered
Anonymized examples based on prior responsibilities and delivery work.
Enabled business leaders to identify and launch AI opportunities
Developed new service offerings, reduced bottlenecks through automation, and led AI enablement efforts that helped business teams frame and present solution ideas more effectively.
Applied GenAI and NLP to help extract signal from security operations data
Designed root-cause analysis workflows for help desk and cybersecurity data, structured insight extraction from unstructured sources, and laid groundwork for predictive analytics.
Designed federated learning architecture for distributed enterprise data
Led cloud-oriented design for privacy-preserving machine learning across multiple data silos, including orchestration of training and aggregation without moving raw data.
Built AI systems for real-time intelligence and decision support
Combined graph databases, retrieval-augmented generation, embeddings, and agent-based automation to improve analysis and accelerate actionable output.
Delivered predictive models for fraud detection and risk scoring
Built deep learning and cost-sensitive models, high-cardinality feature representations, and end-to-end ML platforms to support rapid fraud model development and deployment.
Created document and language intelligence pipelines
Delivered NLP and NLU solutions for classification, sentiment, topic extraction, semantic search, and intelligent document workflows in cloud-native environments.
Approach
Easy to consume. Built for decision-makers.
Every engagement is designed to keep complexity manageable. The goal is to help teams understand what is being built, why it matters, and how it will be supported.
01
Discover
Clarify the business goal, the data reality, and the best AI opportunities.
02
Design
Map the solution architecture, evaluation criteria, and delivery path.
03
Build
Create prototypes and production-ready components with modern engineering discipline.
04
Transfer
Document, refine, and hand off a clean foundation for continued growth.
Let’s build something practical
From AI strategy to working systems.
Whether you need a focused prototype, an intelligent workflow, or a broader AI solution roadmap, Tractlytics can help you move forward.