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We transform messy PDFs, legacy codebases, and unstructured streams into structured Data Lakehouse tables. Zero idle compute costs, infinite burst scaling, and strict data privacy.
Targeted AI workflows designed to eliminate manual data entry, modernize legacy tech debt, and accelerate enterprise sales cycles.
Targets logistics and real estate teams drowning in manual entry. We run serverless GPU vision models to extract structured JSON from complex PDFs and financial forms in seconds.
Solves enterprise technical debt (e.g., COBOL, Java 8 to 17 migrations) by analyzing AST dependency graphs and using serverless containers to auto-issue pull requests with full test coverage.
Saves B2B SaaS companies 20+ hours per deal by pairing PostgreSQL (pgvector) with LLMs to cross-reference historical SOC 2/ISO documentation and instantly answer 200-question spreadsheets.
Serves regulated fintech/healthcare teams with strict data privacy requirements by generating synthetic datasets and executing serverless QLoRA fine-tuning to deploy hyper-specialized local models.
Engineered for Hospital CIOs and CISOs. Maintain HIPAA compliance, upgrade legacy HL7 architecture, and protect connected medical devices.
A HIPAA-compliant proxy gateway that sits in front of all internal hospital AI tools to redact PHI, track model lineage, and auto-generate 30-day compliance logs.
Eliminates months of integration developer work by converting legacy pipe-delimited HL7 messages and Mirth JS transformers into modern FHIR R4 JSON APIs.
Extracts raw SQL/PDFs from expensive legacy EHRs (post-acquisition), converting notes into searchable FHIR schemas to drop annual vendor licensing costs.
Ingests complex vendor security advisories and device SBOM PDFs via vision-language models, mapping them against CISA vulnerabilities to protect infusion pumps.
Converting petabytes of raw industry data (PDFs, images, legacy binaries) into queryable Apache Iceberg and Delta Lake tables.
Converts crash photos, claim PDFs, and adjuster audio into structured Apache Iceberg tables to automate claim triage, estimate repair costs, and detect fraud.
Parses commercial loan PDFs, SEC filings, and legacy SWIFT MT binary files into structured Delta Lake tables (ISO 20022 JSON) for instant SQL-based credit scoring.
Processes video archives and audio files with vision/Whisper models to auto-tag scenes and brand placements, storing timestamped metadata in Delta Lake feature stores.
Parses legacy ASN.1 binary Call Detail Records and cell tower drone inspection photos into queryable Iceberg tables for real-time network traffic routing and predictive maintenance.