AI solutions for business operations

We build practical AI systems that save teams time.

LogicFolds helps businesses automate manual workflows, extract messy web and document data, and launch production-ready AI backends with clear ownership from discovery to deployment.

See business outcomes
AI workflow cockpit
Selected solution AI automation for business operations

Convert repeatable internal work into AI-assisted workflows with prompts, structured outputs, APIs, and human review.

30% throughput gains 3+ years AI delivery
LLM APIs RAG pipelines AgentQL FastAPI PostgreSQL Docker GCP Model monitoring LLM APIs RAG pipelines AgentQL FastAPI

What we build

AI products that fit real business workflows.

Not demos. Not loose prototypes. We scope the business problem, build the service layer, and deliver software that teams can use.

DX

Data extraction systems

Turn unstructured web pages, menus, documents, and public sources into clean JSON and database-ready business data.

  • AgentQL and Playwright agents
  • Semantic classification
  • Error recovery pipelines
ML

AI-ready platforms

Build backend infrastructure for model inference, long-running AI jobs, file processing, access control, and performance tracking.

  • Async APIs and WebSockets
  • Dockerized deployments
  • Monitoring and iteration loops

Selected work

Business problems solved with production AI engineering.

AI menu data collection

Agentic extraction for restaurant intelligence.

Data extraction LLMs, AgentQL, Playwright, browser-use
FASTQ API Jobs Insights

ONEX bioinformatics platform

AI-ready research data workflows at scale.

ML platform FastAPI, PostgreSQL, Docker, WebSockets
Sales Ops Reports SQL

ERP automation delivery

Business process automation with Odoo and Python.

Operations Odoo, Python, SQL, reporting pipelines
Why businesses work with us

Engineering depth with business-first delivery.

We sit close to your workflow, translate operational pain into product requirements, and build the AI layer with maintainable code, not fragile one-off scripts.

30%throughput and response-time gains
24/7production support mindset
18mopromoted through delivery impact

Process

From business workflow to deployed AI system.

Step 1

Analyze

Map the workflow, data sources, edge cases, value points, and success metrics.

Step 2

Design

Define the AI workflow, prompts, retrieval, validation, API contract, and operating model.

Step 3

Build

Develop the backend, integrations, jobs, dashboards, auth, and deployment pipeline.

Step 4

Launch and iterate

Monitor quality, improve prompts and data loops, and keep the system useful after launch.

FAQ

Straight answers for business buyers.

Let's talk

Ready to turn a manual workflow into an AI system?

Share the workflow, the data, and the result your business needs.

View founder credentials

Book a strategy call

Tell me what your business wants to automate.

Share the workflow, the data sources, and a preferred call window. I will review it and reply with next steps.