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Deploy ready-to-use AI-driven domain solutions and scalable web-scraping platform across industries. From data extraction to actionable insights, seamlessly integrate pre-trained models, pipelines, and services to accelerate business value and growth.

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Accelerate enterprise AI-driven decision-making with ready-to-deploy generative AI solutions for market intelligence, data exploration, workflow automation, and knowledge assistants. Built with multi-LLM support, cloud-native scalability, and Responsible AI guardrails for compliant, auditable, end-to-end automation.

Key Features:

  • Unified control plane for Agents, Tools, MCP Servers, Actions, Knowledge, Models, Operate, and FinOps.

  • Multi-LLM support with configurable model catalog, activation, and connection testing (Azure OpenAI, Gemini, Claude).

  • Role- and capability-based access control for secure, compliant operations across teams.

  • Knowledge workspace for retrieval-augmented agents over trusted enterprise data.

  • MCP-native tooling with package upload, versioning, activation, and runtime refresh.

  • Execution and observability APIs for intent submission, event history, and audit trails.

  • Responsible AI guardrails and governance for safe, compliant generative AI usage.

Key Features:

  • NLP to SQL conversion of business questions into validated, executable queries with plain-language explanations.

  • Schema-aware reasoning and feedback-driven learning for accurate, policy-aligned query generation.

  • Multi-platform support for Databricks, Snowflake, Azure SQL, and Postgres. RBAC alignment, row-level security compatibility, and query logging for governance and audit.

  • Responsible AI controls to reduce risk and improve trust in data access and usage.

Key Features:

  • Insight-to-action pipeline: convert insights into structured, schedulable actions with approval and execution via tools and workflows.

  • Cloud-native serverless design with Azure Container App and Functions for task creation, routing, escalation, and outcome monitoring.

  • Human-in-the-loop checkpoints and escalation for governed, fault-tolerant automation.

  • Role-based permissions and policy enforcement with Microsoft Managed Identity and Entra ID.

  • Action logs and Responsible AI safety monitoring for auditability and reliable automation.

Key Features:

  • End-to-end market research automation for competitive analysis, pricing and promotion insights, consumer sentiment, and category performance.

  • Opportunity sizing and executive-ready outputs for growth and strategy teams.

  • Enterprise Agentic AI frameworks: A2A Protocol, Model Context Protocol (MCP), OpenTelemetry for traceability, Cloud Logs for monitoring.

  • Enterprise security and access control with Microsoft Entra ID and Managed Identity integration.

  • Multi-agent orchestration with clear governance and auditability.

Accelerate vision-based solutions with tools and ready-to-deploy models for image classification, object detection, anomaly spotting, and more. Built for scalability and cross-industry use - from retail to insurance and manufacturing.

Key Features:

  • Real-time gyro-based motion detection to prevent capture during device movement.

  • Intelligent angle detection with configurable thresholds for optimal image orientation.

  • Interactive user guidance with on-screen messages for movement and angle corrections.

  • Automatic capture blocking when stability conditions aren't met.

  • Seamless integration with existing mobile applications and workflows.

  • Configurable sensitivity settings to match various capture scenarios.

Target application areas:

  • Invoices: Extract billing details, line items, and tax summaries.

  • Receipts: Identify store info, purchased items, totals, and discounts.

  • Purchase Orders: Detect vendor info, order lines, and approval sections.

  • Forms: Isolate labeled fields, user inputs, and signature areas.

Target application areas:

  • Retail Shelf Imagery: Locate and identify products and position.

  • Ad Flyers: Distinguish product images, prices, and promotional text regions.

  • User-Generated Photos: Identify objects like furniture or food in photos.

  • Manufacturing Lines: Detect components, defects, or tools on conveyor belts.

Target application areas:

  • Financial Statements: Extract line items, totals, and comparison year columns.

  • Forms: Pull field labels, filled entries, and checkbox selections.

  • Inventory Lists: Capture item names, SKUs, quantities, and location codes.

  • Invoices: Extract itemized billing info, taxes, totals, and due dates.

Target application areas:

  • E-Commerce Platforms: Match uploaded product image with catalog items instantly.

  • Retail Product Recognition: Identify branded goods on shelves or in hands.

  • Brand Monitoring: Spot product appearances in social media or influencer content.

  • Asset Management: Recognize tagged assets like machinery or tools in photos.

Accelerate your data transformation journey with pre-built engineering assets that automate infrastructure, streamline data loading, and enforce governance. Designed for agility, these accelerators support domain-oriented design, integrate open-source tools, and ensure scalable, governed data pipelines optimized for modern data platforms.

Key Features:

  • Automated cloud infrastructure, Databricks Workspaces & Unity Catalog setup.

  • Pre-configured for Medallion Architecture & Data Mesh.

  • Faster environment provisioning.

  • Built-in dashboards for cost and performance monitoring.

Key Features:

  • Metadata-driven ingestion control with user-defined logic.

  • Supports loading via Delta Live Tables or dbt-core.

  • Automated data mapping.

  • Quicker raw data availability.

Key Features:

  • Scalable data modeling for evolving business needs.

  • Produces consistent and integrated tables for enterprise-wide analysis.

  • Dynamic hash key generation and SCD management.

  • Built-in data quality & testing.

Key Features:

  • Dedicated Databricks workspaces and secure Unity Catalogs for each business domain.

  • Decentralized data product ownership and development by domain teams.

  • Secure cross-domain data sharing with RLS and CLS via Delta Sharing or RBAC.

  • Stricter workspace-to-catalog binding for enhanced governance.

Key Features:

  • Flexible integration with dimensional modeling or standalone deployment.

  • Utilizes leading open-source tools: Soda, Databricks DQx, and Great Expectations.

  • Comprehensive suite of standard and custom data quality checks.

  • Proactively identifies and resolves data issues for trusted data asset.

Ready-to-deploy AI solutions tailored for industry-specific challenges — from Retail and CPG to Market Research and beyond. Combine domain-trained models with scalable data pipelines to accelerate insight generation, automate operational workflows, and deliver measurable business outcomes.

Extract crucial product claims with accuracy exceeding 90%

Product Claims Extracted

Key Benefits

Scale smarter and faster

Find out how we can accelerate your AI deployments.

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