Enterprise solutions include automation solutions for information processing across the enterprise
Unified Enterprise Data Integration - automated integration of data across an enterprise through transformation of documents, synthesis of unstructured and structured data and enterprise search capabilities.
Multi-contextual semantics -TAS Enterprise Solutions are driven by a comprehensive underlying technology platform, InfoSieve, which consists of multi-contextual semantic modules. InfoSieve brings these different semantic perspectives into play for the seamless analysis of information from all dimensions. It understands the documents from visual, tabular, numerical and language or linguistic perspectives to solve repetitive yet highly complex task of data analysis.
Output with guarantee of accuracy - The intelligent interlacing of the four distinct semantic perspectives enables TAS Enterprise Solutions to assign trustRank to its data analysis which provides a guarantee to the users about the level of accuracy and completeness of the automatic data analysis done by TAS Enterprise Solutions.
Transformation of documents (in multiple formats- Scanned Images, PDF, HTML, MS Word, PowerPoint, Excel spreadsheets, relational database tables) to generate standard/customized visual XML format ready for further content creation or analysis
Transformation goes beyond mere conversion and involves leveraging multiple semantic contexts to understand different types information units (textual, numerical, tabular and images that contain data ) to generate output in the desired format

| Benefit | Description |
| Processing-ready data | Create data ready for further processing and analysis by transforming input documents in diverse formats, recognizing their presentation structure , interpreting visual semantics embedded and bringing them on a single unified Visual XML format |
| Complete Automation | Eliminate or reduce human involvement |
| Low turnaround time | Reduce the duration of transformation cycle significantly |
| High Quality | InfoSieve’s automated output validation mechanism ensures high quality XML output |
| Beyond cost savings | The benefits of this automation go beyond cost savings and can increase productivity and allow key organizational staff to focus on business critical functions |
At present, text search, recognition and mining tools are used to analyze unstructured data(emails, reports, work sheets or Web 2.0 services such blogs, social network sites), while business intelligence tools are used to analyze structured content (relational databases).
An analyst drilling into an OLAP cube navigates through numbers, not memos; a person submitting a search query views text results, not report totals. Though, organizations have attempted to resolve these issues by creating custom applications and web portals, linking structured and unstructured data is still largely done by humans leveraging their experience and intelligence.

But the enormity of data volumes and multitude of information units( text, complex tables, charts, graphs, numerical data, tables embedded in various documents) render human effort ineffective.
TAS offers an integrated automated solution that focuses on connection of unstructured and structured data.
TAS InfoSieve platform has the ability to transform structured relational database tables and unstructured/semi-structured input documents(Scanned Images, PDF, HTML, MS Word, PowerPoint, Excel spreadsheets, emails, memos)into visual XML format and simultaneously extract information from all information units (paragraph text, non paragraph text, tabular data, numerical data, graphs, charts) across all document types and bring them on a single plane of analysis.
Therefore information workers have a seamless access to enterprise data along with their relationships regardless of their source systems.
TAS provides a beyond keyword logic based automated solution that is driven by a Grid-based search using multi-contextual query analysis.
This results in a contextually relevant search solution fully aligned with the actual intent of information seekers and reflects all the different contexts that are inherent in organizational workflows, document representations as well as information hierarchies and taxonomies.

TAS InfoSieve with it’s ability to a) transform various information types into visual XML format b) extract information from all information units c) use multi-contextual semantic analysis to combine different information contexts d) map relationships between information units is able to generate a comprehensive universal grid representation.
This is leveraged by TAS Grid-Based Enterprise Search to seamlessly drill down to individual information units while having the original source document always within sight, allowing users to look at any piece of information, from different perspectives. Search results are organized around relationship filters and can also be calibrated by the user by using organizational information hierarchies and taxonomies, to an authoritative drill down to very specific information units.
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