Powering Intelligent Features with Scalable AI

At Tx, we specialize in embedding AI into the heart of your enterprise systems. Our AI Feature Engineering service modernizes legacy platforms and accelerates decision-making with intelligent, context-aware capabilities. From integrating GenAI features to automating complex workflows, we engineer practical AI into your existing tech stack. Tx bridges the gap between cutting-edge AI and enterprise readiness—securely, efficiently, and impactfully.

Whether it's smarter search, adaptive recommendations, or predictive insights, we work closely with you to identify high-impact use cases where AI delivers measurable value. Our solution fits your business context, ensuring AI doesn't just function, but truly performs. With a focus on usability and scalability, we help you turn data and processes into intelligent products that meet your needs.

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Overall Rating

"We have had a successful partnership with Tx for many years. The testing team has been efficient, precise, and crucial in the launch of many sites."
(Resource Planner, IT services)

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How Tx Support AI Feature Engineering

Automate with GenAI via Bedrock, Vertex AI.

AutoFE pipelines unify multimodal inputs.

Use LLMs (Claude, GPT-4, Gemini) to extract features from SAP logs, legacy CRMs, and business documents.

Implement continuous monitoring using SHAP, Allure, and LLM-based adaptive feature recalibration.

Integrate interpretable layers (SHAP, LIME) with audit-ready logging using Azure ML or SageMaker.

Our AI Feature Engineering Services

LLM-Powered Feature Enhancement

Leverage large language models like Claude, GPT-4, and Gemini to extract, enrich, and contextualize features from text-heavy sources like support logs, survey data, and business documents.

Prompt Engineering for Feature Extraction

Design and tune high-precision AI prompts that guide GenAI tools to generate domain-specific, high-precision features aligned with model objectives.

Automated Feature Engineering at Scale

Auto-discover and validate features across Salesforce, SAP, and ServiceNow Using GenAI frameworks hosted on AWS Bedrock and Azure ML.

Modernization using AI

Leverage GenAI models and LLMs (OpenAI, Claude, Gemini) to refactor pipelines, enhance interoperability, and accelerate enterprise AI-readiness while managing the capability vs latency trade off.

Feature Monitoring & Drift Detection

Continuously track feature relevance, stability, and predictive power using AI-powered telemetry and integrated dashboards (e.g., Kibana, Prometheus, Allure).

Cross-System Feature Harmonization

Standardize and align features across siloed platforms like Salesforce, SAP, and ServiceNow using LLMs to ensure consistency, interoperability, and downstream model compatibility.

Our Differentiators

Enterprise-Centric AI Feature Strategy

We align feature engineering with core business KPIs, contributing to measurable outcomes like improved conversions, reduced churn, or enhanced operational efficiency.

Domain-Specific Feature Intelligence

Our experts infuse industry-specific knowledge into feature design, creating context-aware, high-precision features that drive relevance and accuracy across different sectors.

Scalable Automation with Governance

Using proprietary frameworks and AutoFE pipelines, we automate feature creation while accelerating deployment without compromising control.

Integrated MLOps Readiness

Features are engineered with MLOps compatibility, enabling smooth integration into CI/CD pipelines, and monitoring for sustained model performance in production.