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IN THE FIELD GUIDE

stepto

stepto.net

AI architecture and engineering teams that ship production AI systems. LLM and agentic workflow integration. Retrieval-augmented generation (RAG).

THE PRODUCT, BEYOND THE PITCH

Editorially reviewed · Sources checked Sep 15, 2026

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A good fit for

  • European and North American scale-ups needing AI-first software and dedicated engineering teams
  • Clients seeking long-term partnerships with nearshore teams in CET timezone

Know the limitations

  • Third-party services like cloud hosting and SaaS subscriptions are not included and billed separately.
  • Scaling down staff augmentation requires a 30-day notice period.

What you can do

  • AI architecture and engineering teams that ship production AI systems
  • Custom web, mobile, and enterprise platform development from MVP to production scale

Features

  • LLM and agentic workflow integration
  • Retrieval-augmented generation (RAG)
  • Custom ML model training and serving
  • Full-stack web and mobile development
  • Dedicated development teams with risk-free trial period

Integrations

Not confirmed yet.

Platforms & data export

Not confirmed yet.

THE COST FOR YOUR TEAM

Go beyond the starting price.

Published plan prices for your team size and usage. Results update as you type. Taxes, currency conversion and unlisted add-ons are excluded, and anything the source did not state is called out rather than guessed.

Cheapest fit for 1 person, all 1 tools

$13,500.00/month

$162,000.00 a year on these plans.

Some figures carry conditions the vendor did not state — see the notes beside each plan.

Plan costs based on your requirements
Tool / planMonthlyPer yearWhat this assumes
stepto logostepto

Dedicated TeamCheapest fit

Flat subscription

$13,500.00$162,000.00
  • · Published as a starting price. The final cost can be higher depending on options.

Automatically extracted from the linked pricing source. Published as a starting price. Seat allowances, usage limits, taxes and terms are not confirmed — check them with the provider.

A practical workflow

  1. Engagements follow a five-stage delivery model from discovery through handover with clear milestones at each stage for predictability and low risk.
  2. Clients receive regular check-ins and milestone reviews throughout the engagement.

Based on the sources below. Editorial review does not imply hands-on product testing.

Alternatives to explore

Filter alternatives →

Candidates based on category and primary feature. Check feature and pricing differences before switching.

Essentialisms logo

Essentialisms

✓ Reviewed

Essentialisms is an AI engineering and software consulting practice based in Berlin, Germany, offering fractional CTO services, AI engineering, and technical leadership for startups and scale-ups. They specialize in shipping LLM features, RAG systems, AI agents, and provide hands-on embedding with client teams to transfer knowledge and deliver production-ready AI solutions.

Plan a switch from stepto →

What changed

1 recorded change · latest 9/15/2026

Changes to the facts recorded here, not a live scan of every vendor update. Save this tool to follow updates in your account.

  1. Updated: best for, features, limitations, plans, sources, summary, use cases, walkthrough

    See recorded changes
    bestFor

    Before: ["EU and US scale-ups needing AI-first software and dedicated engineering teams with nearshore delivery"]

    After: ["European and North American scale-ups needing AI-first software and dedicated engineering teams","Clients seeking long-term partnerships with nearshore teams in CET timezone"]

    features

    Before: ["LLM and agentic workflow integration","Retrieval-augmented generation (RAG)","Custom ML model training and serving","Full-stack web and mobile development","Cloud-native architecture and API design"]

    After: ["LLM and agentic workflow integration","Retrieval-augmented generation (RAG)","Custom ML model training and serving","Full-stack web and mobile development","Dedicated development teams with risk-free trial period"]

    limitations

    Before: []

    After: ["Third-party services like cloud hosting and SaaS subscriptions are not included and billed separately.","Scaling down staff augmentation requires a 30-day notice period."]

    plans

    Before: []

    After: [{"name":"Dedicated Team","note":"Automatically extracted from the linked pricing source. Published as a starting price. Seat allowances, usage limits, taxes and terms are not confirmed — check them with the provider.","annual":null,"monthly":13500,"perSeat":false,"currency":"USD","features":[],"extraUnit":null,"unitLabel":"","maximumSeats":null,"minimumSeats":1,"includedUnits":null,"startingPrice":true,"seatsConfirmed":false}]

    sources

    Before: [{"url":"https://stepto.net/","label":"AI Software Development & Nearshore Teams | StepTo"}]

    After: [{"url":"https://stepto.net/","label":"AI Software Development & Nearshore Teams | StepTo"},{"url":"https://stepto.net/pricing","label":"Nearshore Developer Rates & Engagement Models | StepTo"}]

    summary

    Before: "Developing bespoke web, mobile, and enterprise platforms from MVP to production scale. LLM and agentic workflow integration. Retrieval-augmented generation (RAG)."

    After: "AI architecture and engineering teams that ship production AI systems. LLM and agentic workflow integration. Retrieval-augmented generation (RAG)."

    useCases

    Before: ["Developing bespoke web, mobile, and enterprise platforms from MVP to production scale"]

    After: ["AI architecture and engineering teams that ship production AI systems","Custom web, mobile, and enterprise platform development from MVP to production scale"]

    walkthrough

    Before: ["Engagements follow a five-stage delivery model from discovery through handover with clear milestones at each stage","Regular check-ins and milestone reviews ensure transparency and predictability","Clients have 2-4 hours daily overlap with the Belgrade team for US East Coast clients"]

    After: ["Engagements follow a five-stage delivery model from discovery through handover with clear milestones at each stage for predictability and low risk.","Clients receive regular check-ins and milestone reviews throughout the engagement."]

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Sources & research

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