We build software that runs
in production, not in demos.

Vendor data arrives misspelled, abbreviated and inconsistent, and exact matching fails on it. We build fuzzy-matching tools that stay fast as the catalog grows, with the review interface operators need for the cases a machine shouldn't decide.

• Fuzzy match across a 120K-item managed storefront catalog, refreshed quarterly
• Business-ID and business-name matching against external storefront data
• Empty-search recovery tool — 75% reduction in average handling time
• Attribute keyword search with dynamic keyword rules
• Quality-audit search tool — 40% reduction in average handling time

Menus, PDFs, photographs and handwritten forms converted into structured records. We pick the model to fit the job and tune the prompt against cost, because on high-volume extraction the token bill decides whether the project survives.

• Menu extraction web application, through to complex multi-column and PDF menus
• Browser-based extractor for major food-delivery platforms
• OCR pipeline reading content directly from photographs
• Custom GPT prompt chain for menu extraction, plus API-based translation
• Master-prompt rewrite that cut input tokens from ~4,000 to 1,250 per document

Where work happens in the browser, we build for the browser. Image handling tools and published extensions that sit inside the workflow rather than beside it — measured by actions removed, not features added.

• Photo resequencing with a transpose step that collapsed the operator workflow
• Image expert tool, merged from two versions after user acceptance testing
• In-tool image editor and resolution-aware resequencing
• Chrome extension built, tested and published, with walkthrough documentation
• Image zoom and PDF mapping tools for audit review

Generating one image is a demo; generating ten thousand that a client can actually review is a pipeline. We build batch engines that take a prompt spreadsheet as it arrives, survive being stopped mid-run, and keep character and scene continuity across a long sequence rather than drifting panel to panel.

• Batch engine rendering 700 prompts × 15 seeded variants, each batch zipped with its own manifest
• Stop and resume mid-run with no half-written output — built for metered, rented GPUs
• Client prompt exports ingested as-is: CSV or text, header or not, whatever columns they carry
• Character continuity for sequential art: trained FLUX LoRAs for lead cast, zero-shot reference for the rest
• ControlNet pose and depth to hold scene geometry steady across camera moves
• Face-detail and tile-upscale finishing calibrated to print resolution

Internal and client-facing dashboards that gather their own data, so the weekly report stops being someone's Monday morning. Built for the people reading the numbers, not just the ones storing them.

• External, internal and client-billing dashboards
• Weekly business review and macro report generators
• Result-based audit automation with agent-impact tracking
• Handling-time, quality and volume trackers with live capture
• Agent pay report generation and reporting-week formula standardization

The unglamorous automation that returns real hours: notifications that fire themselves, approvals that route correctly, and spreadsheets that stop being copied by hand between teams.

• Slack workflow automation for visual quality-audit channels
• Credential and unavailability notifications driven from form submissions
• Mail merge for single and multi-admin leave approval
• Feedback capture from Slack into Google Sheets
• Input-file consolidation for booking and travel data

Description writing and formatting tools for teams producing catalog content at volume. Small per-item gains, but they compound across hundreds of thousands of items — which is exactly where hand-editing stops scaling.

• Short and long description tools with measured quality lift
• All-in-one editor: keyword finder, HTML formatter, bullet fixer, counters, style guide
• Template and knowledge-base article management
• Style-guide enforcement built into the writing surface

Patient records migrated out of legacy EHR and EMR systems, and off paper, into structured clinical data — including FHIR resources built to the client’s specification. Handwritten prescriptions included. All of it handled under HIPAA, with a Business Associate Agreement signed before any PHI moves.

• Chart migration from established EHR and EMR platforms into modern structured formats
• FHIR resources mapped to the client specification for downstream interoperability
• Handwritten prescription transcription into spreadsheet and JSON output
• Reviewer tooling for the cases automated extraction should not decide alone

Most AI data projects die in production because cleaning raw enterprise databases, formatting prompt-response pairs, and running brute-force LLM labeling burns through token budgets. We engineer automated, multi-model pipelines that clean, restructure, and convert chaotic unstructured text into high-fidelity, fine-tune-ready datasets.

• Data provenance: structured processing that strips PII and enforces data integrity rules
• Cost-optimized labeling: open-source and frontier models blended to cut the token cost of high-volume cleaning
• Expert-in-the-loop: validation surfaces your domain experts use to verify edge cases