Use case
Out-of-the-box living Q&A feature
A web collaboration platform implements best-in-class search and question-answer built on indexes that automatically update with low latency, as workspace data changes constantly
What DeepStructure provides
Best-in-class, general-purpose, indexing and question-answer out of the box
Reactive data connectors that automatically reindex when source documents change
Option to deploy into airgapped, fully-controlled environment
Automatic optimization of prompts and models based on live usage data
Services available to help build proprietary data connectors and advanced customization
Now their users can answer complex questions in seconds that would otherwise take humans hours - a tablestakes feature for any collaboration platform.
Use case
Automated runbook for security incident response
A security incident-response company automates its runbook via AI workflows and live-indexes a vast trove of changing data for RAG.
What DeepStructure provides
Best-in-class, general-purpose RAG and chat reference applications provided out of the box, ready to be customized
Hosted DeepStructure Cloud for production deployments; no need to host internally
Automated management of data dependencies in ingestion and runbook pipelines
Automatic optimization of prompts and models based on live usage data
Services available to help build proprietary data connectors and advanced customization
Faster and more repeatable incident response with less reliance on expensive human labor for tedious processes.
Use case
A self-improving customer assistant
An insurance brokerage deploys chatbot assistants that can answer complex questions from customer-specific document stores, self-improving as more questions are asked.
What DeepStructure provides
Best-in-class, general-purpose RAG + chat reference application ready for production with minimal customization needed
Hosted DeepStructure Cloud for production deployments; no need to host internally
Automated reindexing when source policy documents are updated
Automatic optimization of prompts and models based on live usage data
Their customers (HR personnel) reduce time spent answering repetitive policy questions.
Use case
Self-consistent legal document generation and filing
A legal startup generates complex and self-consistent legal documents that draw on an evolving knowledge base; generates a self-modifying user interface to interview clients; and automates the filing of legal documents in legacy systems.
What DeepStructure provides
Reference applications for best-in-class RAG and reliable document generation
Hosted DeepStructure Cloud for production deployments; no need to host internally
Automated propagation of updates when customer knowledge base changes
Automatic optimization of prompts and models based on live usage data
Services available to help build advanced customization
Performing core business functions automatically
Use case
Near real-time news article fetching, summarization and categorization
A Washington, DC think tank fetches news articles from RSS feeds and generates a near-real-time stream of topical information with automated summaries and categorization.
What DeepStructure provides
Reference applications for best-in-class RAG, and RSS feed ingestion
Hosted DeepStructure Cloud for production deployments; no need to host internally
Option to deploy into airgapped, fully-controlled environment
Automatic optimization of prompts and models based on live usage data
Services available to help build proprietary data connectors and advanced customization
Hundreds of minutes saved per analyst per day in reading and synthesizing news feed
Use case
A platform for upgraded AI assistants that automatically synchronize
A platform for AI assistants upgrades to a best-in-class question-answering engine built on indexes that automatically synchronize documents from customer Google Drives with low latency, along the way preparing itself for future zero-downtime and minimal-effort engine updates when new tech is available.
What DeepStructure provides
Best-in-class, general-purpose RAG tech upgrade provided as out-of-the-box reference application
Automated deployments and dependency management prepare for easy future upgrades
Best-in-class observability to understand prod performance and build “eval” datasets
Automatic optimization of prompts and models based on live usage data
Services available to help build advanced customization
Performing core business functions automatically
Use case
Automated labeling workflows with human in the loop
A data-labeling company automates labor-intensive backend processes with automated workflows that still have humans in the loop for the most critical tasks, freeing up a large team’s engineering resources to focus on building core value-add features.
What DeepStructure provides
Formalize ad-hoc workflows with SDLC that provides zero-downtime redeployments
Automated backfills when customer labeling requirements change
Reference applications for RAG, chat, etc integration to allow introducing more LLM automation
Reduced human labor in manual workflow orchestration and latency in delivering results to customers
Use case
Automated customer- and vendor-support center with AI workbooks
An energy company automates its customer- and vendor-support center, by converting runbooks to AI workbooks integrated with RAG over a self-improving knowledge base.
What DeepStructure provides
Best-in-class RAG and chat provided as reference applications to begin customizing
Automated synchronization of source documents with knowledge base
Reactive reindexing of previous answers into knowledge base
Automatic optimization of prompts and models based on live usage data
Services available to help build advanced customization
Reduced human support center overload and costs with higher-quality, more consistent ticket resolution via self-improving knowledge base
Use case
Offloading infrastructure work to scale customers
A document-intelligence company offloads the infrastructure work it needs to scale number of customers and onboard them faster, freeing them up to focus on their core competencies in document AI.
What DeepStructure provides
Automated management of code + data dependencies
Reliable workflow orchestration with retries, resume-from-crash, etc
Observability into all aspects of workflow runs, and export of data
“TypeScript-native” development experience
Reduced time spent outside core competencies leading to scaling number of customers and reducing onboarding time
Use case
Infrastructure to support a searchable expert knowledge base based on rapidly evolving multimedia
An expert-knowledge platform makes its workflow execution more resilient on managed infrastructure, and frees itself to experiment with different embeddings and search architectures by breaking vendor lock-in and avoiding the need to implement high-effort migrations and backfills.
What DeepStructure provides
Automated deployments and dependency management prepare for easy future upgrades
Best-in-class observability to understand prod performance and build “eval” datasets
Hosted DeepStructure Cloud for production deployments; no need to host internally
Automatic optimization of prompts and models based on live usage data
Performing core business functions automatically
Use case
Helping a business mine rich and evolving data sources
An education platform automates its management of AI assistants and source documents; live-indexes a vast trove of data for multi-modal RAG and model fine-tuning; transcribes audio with best-in-class models; along the way breaking vendor lock-in and reducing costs.
What DeepStructure provides
Reactive synchronization from data stores to AI assistants
Automatic triggering of reliable AI workflows at end of class sessions and arrival of other data
OpenAI Assistants-compatible reference application provided for full control and customization
Best-in-class indexing, backfilling, reprocessing, and RAG for existing source data
Manual experimentation with prompts and models for cost vs. quality tradeoffs
Automatic optimization of prompts and models based on live usage data
Services available to help build advanced customization (difficult to hire for internally)
Execute new AI initiatives