AI/ML & Generative AI Solutions

OneData Software Solution delivers end-to-end professional services that help organizations build, train, deploy, and scale intelligent applications on AWS. From machine learning development to generative AI and document intelligence, our team provides expert guidance across the full AI lifecycle.

Our structured delivery methodology ensures predictable outcomes:

Phase 1 - Discovery & Assessment We evaluate your data landscape, define use cases, and deliver an AI readiness assessment with a recommended architecture document.

Phase 2 - Design & Build Our engineers develop models, configure pipelines, and build application logic. Deliverables include trained models, API endpoints, and integration specifications.

Phase 3 - Deploy & Validate We deploy to production using AWS CloudFormation and AWS CDK for infrastructure-as-code, validate performance, and hand off operational documentation.

Phase 4 - Optimize & Monitor (Ongoing) Continuous monitoring via Amazon CloudWatch, model retraining schedules, and performance optimization ensure long-term value.

Machine Learning Development

• Model training, tuning, and deployment with Amazon SageMaker
• Data preparation with Data Wrangler and real-time inference via hosting services
• Performance monitoring with Model Monitor and lifecycle management

Generative AI Applications

• Access foundation models (Claude, Titan, Llama 2, Amazon Nova Pro, Stable Diffusion) via Amazon Bedrock
• Customize models using fine-tuning, RAG, and Knowledge Bases
• Build intelligent agents with Bedrock Agents and orchestrate workflows using Bedrock Flows

AI Agents & Automation

• Deploy virtual assistants and autonomous agents for customer support, operations, and analytics
• Orchestrate multi-step workflows with AWS Step Functions and Amazon API Gateway
• Integrate with AWS Lambda, Amazon S3, Amazon Redshift, Amazon RDS, Amazon DynamoDB, and Amazon SQS

Multimodal & Document Intelligence

• Analyze documents, images, audio, and video using Amazon Textract, Rekognition, and Transcribe
• Leverage Amazon Bedrock Nova Pro for advanced multimodal document understanding
• Enable intelligent search with Amazon Kendra and Amazon Comprehend
• Power RAG pipelines with Amazon S3 Vectors for scalable vector storage and retrieval

Security, Governance & Compliance

• Enforce IAM policies, TLS encryption, and VPC isolation
• Apply Guardrails to mitigate hallucinations, redact PII, and ensure responsible AI
• Align with HIPAA, PCI DSS, ISO 27001, and GDPR requirements

Document Intelligence — Identity Verification OneData deployed a handwritten signature validation solution that detects, extracts, and compares signatures from documents and INE IDs. The workflow uses Amazon Textract for extraction, Amazon Bedrock Nova Pro for multimodal comparison, AWS Step Functions for orchestration, and AWS Lambda for processing logic. Results are stored in Amazon DynamoDB and exposed via Amazon API Gateway enabling real-time identity verification at scale.

Travel & Hospitality — Conversational AI for Document Ingestion OneData built a serverless AI platform for automated travel document ingestion, OCR processing, and RAG-based conversational chat for travel brochures, itineraries, and pricing documents. The solution uses Amazon Textract for OCR, Amazon Bedrock Nova Pro for conversational AI, Amazon S3 Vectors for vector storage, Amazon SQS for asynchronous document queuing, AWS Step Functions for pipeline orchestration, and AWS Lambda for processing delivering instant, accurate answers from unstructured travel content.

Additional Industry Applications:

• Healthcare: Patient record summarization, diagnostics support, clinical document processing
• Retail: Personalized recommendations, AI-generated content, demand forecasting
• Finance: Fraud detection, predictive analytics, automated compliance checks
• Manufacturing: Predictive maintenance, quality control, defect detection
• Education: Adaptive learning platforms, automated quiz generation, content personalization

• Data must be available in a supported format (CSV, JSON, PDF, images)
• Customer designates a technical point of contact for collaboration
• Engagements are scoped per use case; multi-use-case programs are structured as sequential phases

Book a 30-minute AI readiness assessment to discuss your use case, evaluate technical fit, and receive a preliminary architecture recommendation. Visit our website to schedule a discovery call with our solutions team.