Ethix

Ship production AI weekly
not prototypes.

For serious teams with real workflows, Ethix integrates AI into operations with clear scope, strong engineering, and measurable business results. We work best when important work is blocked, poorly integrated, or needs stronger technical execution.

Request estimate View work
Upwork 5.0★ • Top Rated GCP-first • also Azure & AWS Weekly demos • PRs • measurable progress
Clarity first Trust & ownership Fast execution Business-aware AI
Selected partners
Matechi Flo Titan Mint Condition Grading QAQC Agent Teksmart Bidbeam AI ServiceHQ AI SceneState AI
Built for real workflow integration
Best fit for stable teams with an owner on the problem.
Reply in 24 hours
Clarity
Business-first scope
Workflow, owner, and success measure before build.
Speed
Milestone delivery
Weekly demos, PRs, and clear next steps.
Execution
Senior engineers
Practical AI built inside your existing stack.
Ownership
Supportable systems
Docs, guardrails, and handoff your team can run.
AI Integration Sprint Milestone Projects Ongoing Retainers
HOW WE WORK WITH TEAMS

Practical AI integration
for real operational work

Ethix helps companies integrate AI into real workflows with clear thinking, strong engineering, and delivery that can stand up in production.

Best fit

Stable teams with ongoing work and a clear owner on the workflow.

Works best when

Important work is blocked, poorly integrated, or needs stronger technical execution.

What we protect

Clarity, trust, speed, and measurable results without shallow automation shortcuts.

Engagement models

Choose the right shape for the work

We do not force every client into a monthly retainer. Start with a focused sprint, ship by milestone, or bring us in for ongoing delivery.

AI Integration Sprint

From $2K

Fixed scope and fixed time to prove one workflow, ship a lean MVP, or unblock a pressing integration.

  • 1 to 2 week scope
  • Clear deliverable and handoff
  • Best for first MVPs

Milestone Project

MVPs from $2K

Scope the work into phases with budgets, signoff points, and weekly delivery instead of open-ended build cycles.

  • Milestones tied to outcomes
  • Good for productized workflows
  • Predictable budget and scope

Monthly Retainer

Ongoing delivery

For teams with active backlogs that need continuous implementation, iteration, hardening, and support.

  • Weekly demos and updates
  • Ongoing improvement and rollout
  • Best for long-term owners

Audit / Strategy

Fixed assessment

Assess a workflow, architecture, or delivery plan before you commit to implementation.

  • Risk and architecture review
  • Roadmap with priorities
  • Useful before build or rescue work
Technical depth

The systems we build inside those engagements

We pair strong execution with practical AI capabilities that actually fit business operations.

Workflow AI Agents

Agents that take action inside real processes, use tools safely, and hand work to humans when judgment is needed.

  • Tool use, approvals, and escalation paths
  • Multi-step orchestration across internal systems
  • Guardrails, evals, and cost controls
Learn more

RAG & knowledge systems

Retrieval systems that make internal documents, policies, and knowledge actually usable in day-to-day work.

  • Ingestion, chunking, and retrieval tuning
  • Grounding, reranking, and trust controls
  • Latency targets and observability
Learn more

Documents, vision & OCR

Intelligent extraction and detection for messy files, imagery, scanned documents, and operational records.

  • OCR and structured document extraction
  • Detection and segmentation in noisy environments
  • Workflows for files, imagery, and maps
Learn more

Deployment, evals & MLOps

The pipelines, serving, monitoring, and cost controls that make AI features supportable after launch.

  • GCP-first architecture, also Azure and AWS
  • CI/CD, observability, and incident readiness
  • Security, privacy, and rollout controls
Learn more
See pricing & offers Tell us about your workflow
Featured Work

Case studies with outcome-first proof

We package our work around the blocked workflow, the shipped intervention, and the operational result, not just the model or framework behind it.

Road Construction Site Analyzer
Infrastructure AI
Outcome-led•Satellite analysis

Road Construction Analyzer

Satellite analysis for infrastructure teams that needed more reliable road-surface estimates from difficult imagery.

Problem: Shadows, foliage, and occlusions made area measurements unreliable.
Outcome: Area detection error reduced by 33.7%.
Artifact: Segmentation and refinement workflow with review-ready outputs.
SAM2 Multimodal AI Satellite imagery
RAG Systems
Outcome-led•Internal knowledge

RAG-Powered Chatbot

Document assistant for teams that needed fast answers from PDFs without losing context or auditability.

Problem: Important answers were trapped inside internal documents.
Outcome: Faster self-serve Q&A and more consistent responses.
Artifact: Ingestion, retrieval, chat history, and Cloud Run deployment.
Gemini FAISS GCP
Voice Intel
Healthcare AI
Outcome-led•Documentation workflow

Voice Intel Suite

Conversational intelligence for teams that needed structured notes and follow-ups without extra admin work.

Problem: Calls and visits still had to be manually turned into notes.
Outcome: More consistent summaries and clearer next-step capture.
Artifact: Transcript, speaker, summary, and follow-up workflow.
STT AI Django NLP
Real Estate AI
Outcome-led•Listing operations

SceneState AI

Media-generation workflow for property teams that needed polished tours without handcrafting every listing.

Problem: Raw property media needed too much manual shaping before it was usable.
Outcome: Faster, more repeatable property showcase creation.
Artifact: Tour generation, highlight selection, and export workflow.
GenAI Real estate Virtual tours
Education AI
Outcome-led•Personalization workflow

ChildBook AI

Personalized story creation workflow that turns child inputs into finished narratives and illustrations.

Problem: Custom story production did not scale well one child at a time.
Outcome: A repeatable path from user input to finished storybook.
Artifact: Prompt orchestration, illustration generation, and export flow.
Gemini API Image gen Story generation
Healthcare AI
Outcome-led•Clinical workflow

Healthcare AI Suite

Documentation and support workflow for clinical teams that needed structured information with less admin overhead.

Problem: Providers were spending too much time turning patient interactions into usable records.
Outcome: More structured patient documentation with less manual effort.
Artifact: Secure documentation support and clinical review workflow.
Multimodal AI PyTorch GCP
View all case studies
DELIVERY MODEL

How we turn AI into usable operations

Clear thinking first, then milestone delivery, then hardening. That is how Ethix moves from idea to AI that actually gets used.

  1. Step 1
    01

    Understand the problem

    Start with the business workflow, owner, blockers, and success metrics before we recommend any AI approach.

    Output: workflow map, constraints, and outcome targets

  2. Step 2
    02

    Choose the right engagement

    Scope the work into the right shape: sprint, milestone project, retainer, or audit.

    Output: delivery plan, budget shape, and rollout path

  3. Step 3
    03

    Ship the milestone

    Build the workflow, integrations, prompts, retrieval logic, and production-ready code in visible increments.

    Output: working milestone, demo, and next step

  4. Step 4
    04

    Measure and harden

    Add evals, observability, retries, and cost or safety guardrails before broader rollout.

    Output: measurable quality, dashboards, and guardrails

  5. Step 5
    05

    Adopt and hand off

    Release with documentation, operating guidance, and a clear ownership path so the system keeps getting used.

    Output: production release, handoff package, and operating confidence

Request estimate See services
Contact

Tell us what work is blocked

Tell us where AI needs to fit into a real workflow. We will reply with the right engagement model, a realistic plan, and next steps.

Fast response, usually within 24 hours
Best fit for stable teams with an owner on the workflow
Choose between sprint, milestone project, retainer, or audit
Upwork 5.0 rating View Upwork profile Top Rated

Tip: include your stack, data sources, business constraints, and any docs or links we should read first.

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