RAG Systems for Your Proprietary Data
We design processes that allow you to analyze and classify your documents according to your specific content categories using hybrid search, re-ranking, and citation capabilities. Permission-based search ensures users see only the data they are allowed to consume.
LLM Assistants
We can design and implement internal and external AI assistants that generate, summarize, categorize, route, and extract structured data from unstructured documents. We can transcribe annotations, validate results, and implement backup options for your documents.
AI Agents and Workflow Automation
We can implement AI systems that extend beyond content creation. An AI agent can execute commands such as filing a document, updating a database record, or triggering downstream processes based on permissions, approvals, and audit trails for sensitive requests.
Document Intelligence
We can implement OCR and document-processing systems that extract structured data from reports, invoices, claims, contracts, and other documents. Confidence thresholds and multi-tiered human reviews allow for the appropriate triage of complex items.
Computer Vision
We can design computer vision systems that identify, recognize, count, and classify items in video and imagery. Our software can run in the cloud or on-premises and at the edge.
Predictive Models
We can build predictive models, risk, and hazard models, recommendation systems, and anomaly detection systems. We can also implement feature pipelines that allow these models to run in production.
Evaluation and Observability
We can implement golden datasets, regression testing, anomaly detection, human feedback loops, and dashboards that tie quality, latency, and cost to features.
Model Operations (MLOps / LLMOps)
We can replicate models, declarations, data, and deploy changes incrementally so you can always rewind to the previous version if something goes wrong. Model routing lets you switch providers or use open source models when needed.
