Welcome to dsilo
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Like the human brain, dSilo’s deep learning Al engine creates knowledge – digitizing, codifying, and extracting key data attributes, then driving information visibility to pinpoint how you can capture unrealized value.
Uniquely powerful solutions empowering business users
dSilo’s deep learning proprietary Al technology extracts contextualized information from various business contracts, financial documents and other unstructured documents. Providing actionable reconciliation and information, it helps reveal insights and value typically lost in large volumes of data in various transaction systems through complex interactions with suppliers, customers and partners.
capabilities
dSilo’s AI platform capabilities are the foundation for enabling cutting-edge solutions for extracting and combining both structured and un-structured data into valuable insights to help harness unrealized value which may otherwise be lost.
Extraction.ai
dSilo's intelligent digitization and extraction drives knowledge
creation and retention, delivers contextual insights, and
provides new perspectives and avenues to help advance your
business goals.
Extracts insights from complex documents – contracts, invoices,
purchase orders – quickly, easily, and efficiently using dSilo’s
advanced Al technology, deep-learning algorithms, artificial
neural networks, and natural language processing developed as a
result of years of rigorous training and testing by industry
domain experts.
Reconciliation.ai
Identifies value opportunities and reconciles documents with
transactions, spend data, and financial systems.
Analyzes spend data and drives cost savings with dSilo's
categorization and Al -driven views. Pre-built auto matching
algorithms match variety of supplier transactional data with
contractual commitments.
Actions.ai
Generates automated and self - executing actions. Enables a
balanced and synergistic combination of Al and human involvement
for efficient workflow with informed and effective decision
making.
Empowers business users to define and configure their own rules
and actions based on contextual understanding of contract
metadata and transactional data.
