Solix Technologies launches Data Sense and Data Ask AI tools
Solix Technologies, an affiliate of TechNVision Ventures, launched Data Sense and Data Ask on July 30, 2026. These tools activate governed enterprise data for plain-language interaction and agent operations. The announcement highlights a shift from merely storing AI-ready data to actively using it without SQL or migration.

*this image is generated using AI for illustrative purposes only.
technvision ventures affiliate Solix Technologies announced the general availability of Data Sense and Data Ask on July 30, 2026. The new Solix Enterprise AI capabilities are designed to bridge the gap between "AI-ready" and "AI-activated" data, enabling enterprises to derive value from governed data through plain-language answers and agent-operated intelligence without the need for SQL or costly data migration projects.
The announcement was filed with the Bombay Stock Exchange Limited on July 31, 2026. Santosh Kumar Diddiga, Company Secretary & Compliance Officer of TechNVision Ventures Limited, submitted the corporate announcement regarding the product launch by Solix Technologies, Inc., based in Santa Clara, CA.
Product Capabilities
Solix Technologies stated that while its existing Common Data Platform (CDP), Enterprise Content Services (ECS), and AI Warehouse make enterprise data "AI-ready" by governing, validating, and preserving it, the new tools complete the journey to activation. Data Sense and Data Ask allow business users to interact with structured systems, content repositories, and long-term archives directly.
Data Sense: Semantic Layer Construction
Data Sense automatically builds a semantic and knowledge layer over existing enterprise data without manual modeling. Key features include:
| Feature | Functionality |
|---|---|
| Application Knowledge Graph (AKG) | Maps schemas and relationships, including undeclared ones, with AI-generated descriptions |
| Content Intelligence | Ingests contracts, policies, and manuals to produce cited answers |
| Intelligent Classification | Sorts records into business categories to manage retention and resolve ROT data |
Data Ask: Natural Language Interface
Data Ask serves as a natural-language interface for activated data. It allows users to query structured databases, documents, and hybrid combinations through a single governed interface. The system provides grounded, explainable answers that trace back to source data, avoiding the "confident-but-wrong" outputs common in generic AI tools. Features include cross-application querying, guided disambiguation, and permission-aware governance with PII filtering.
Leadership Perspective
Mark Lee, Chief Product Officer at Solix Technologies, emphasized the distinction between readiness and activation in the market.
"AI-ready and AI-activated are not the same claim, and most of the market only makes the first one," Lee said. "Data doesn't create value sitting in a ready state; it creates value when it's activated: when it answers in plain language, powers an application, or is operated by an agent."
Availability
Data Sense and Data Ask are available immediately as part of Solix Enterprise AI. The solutions are delivered on SOLIXCloud or any major cloud provider. Solix Technologies noted that these capabilities support multi-cloud, hybrid, and sovereign AI deployments, enabling organizations to securely manage and activate data wherever it resides.
Historical Stock Returns for TechNVision Ventures
| 1 Day | 5 Days | 1 Month | 6 Months | 1 Year | 5 Years |
|---|---|---|---|---|---|
| +0.00% | -11.91% | +0.28% | -26.38% | -26.38% | -26.38% |
How might Solix's 'AI-activated' data model disrupt the current market dominance of traditional SQL-based analytics and BI tools?
What are the potential implications for enterprise IT budgets if Data Sense eliminates the need for costly data migration projects?
Could Solix Technologies face significant competition from major cloud providers (AWS, Azure, GCP) integrating similar semantic layer capabilities directly into their native platforms?


































