3ncodeAI
// custom AI solutions, forward-deployed

Working AI software. Not slide decks.

3ncodeAI is a small team of senior engineers, ten-plus years each, who work the way forward-deployed engineers do: we embed with you, scope the real problem in days, ship a working pilot in weeks, and stay until your team runs it without us.

See how it works
10+ yrs
every engineer, no juniors, no handoffs
Model-agnostic
Claude, GPT, or open-weight models
Weeks
to a working pilot, not quarters
engagement.log 
$ 3ncodeai start --with your-company
ok  intro call ............ 30 min
ok  discovery sprint ...... days 1-9
ok  pilot in production ... week 5
ok  your team trained ..... week 7
>   run & grow: monitor, iterate

illustrative timeline, real ones set in discovery

// works with your stack, not against it

Claude GPT Open-weight models Your cloud CRMs & ticketing Legacy systems & APIs

Model-agnostic on principle. We deploy into your accounts and meet your systems where they are.

01 / what we build

If it needs AI and it needs to actually work, it's ours.

We build custom AI solutions end to end: the model work, the integrations, the UI, and the boring reliability parts nobody demos.

01

AI agents & automations

Agents that do real work in your systems: triage, drafting, scheduling, data entry, follow-ups. Wired to your tools, with guardrails.

02

Human-in-the-loop workflows

AI handles the routine, people approve the edge cases. Escalation queues, review UIs, and feedback loops that make the system smarter.

03

Internal tools & integrations

Copilots and dashboards on top of your actual data: CRMs, ticketing, spreadsheets, legacy systems. We meet your stack where it is.

04

AI features in your product

Shipping AI to your own customers: search, summarization, assistants. Built to production standards, evals included.

02 / how it works

Small steps, each one worth paying for.

No big-bang contracts. Every stage ends with something you keep, and you decide whether to take the next step.

  1. 1

    Intro call

    30 min, free

    You talk, we ask questions. Engineers on the call, not salespeople. We tell you honestly if AI is not the answer.

    You getA straight read on whether this is worth pursuing.

  2. 2

    Discovery sprint

    1-2 weeks, fixed price

    We shadow the workflow, map the problem, and design the smallest build that pays for itself.

    You getA build plan plus a fixed quote, yours to keep or shop around.

  3. 3

    Pilot build

    4-6 weeks, fixed price

    The smallest end-to-end slice, in production, with your data. Demo every Friday; you see working software from week one.

    You getA live system your team is already using, in your repo.

  4. 4

    Run & grow

    monthly, cancel anytime

    Monitoring, iteration, and new capabilities as the system earns trust. Or we hand it off cleanly and train your team.

    You getA system that keeps improving instead of quietly rotting.

Most AI consultants leave you a strategy document. We leave you running software and a team that knows how to operate it.
  • Senior engineers only. The people on the intro call are the people writing the code. Nothing gets handed off to a bench you never met.
  • You are in the room. Weekly working demos, decisions made with you, your domain knowledge built into the system, not around it.
  • You own everything. Your repo, your cloud, your data, your models where possible. If we disappeared tomorrow, your software would not.
03 / work

Projects, not promises.

A sample of what we build. These are our own products, designed and shipped end to end, the same way we work inside a client's stack.

Conversational AI

Bookbag: an open-core Chatbase alternative

Problem
Businesses want branded AI support agents grounded in their own content, without SaaS lock-in or hand-building RAG, model routing, and omnichannel deploy.
Build
An open-core, multi-tenant platform for no-code RAG chat agents: model-agnostic across Claude, GPT, DeepSeek, and Grok, deployed to a web widget, Shopify, and chat.
Proof
Shipped and running in production, with a full CI-to-server deploy pipeline.
Field service

OpenTrade: run the shop by voice

Problem
Tradespeople work hands-busy, under a car or on a roof, and never stop to type, so conventional CRMs go unused and estimates and unpaid invoices slip.
Build
A voice-first, multi-tenant AI CRM: staff talk to a per-business agent that looks up customers, drafts and sends estimates, dispatches jobs, and chases invoices, confirmation-gated on anything that moves money or a customer.
Proof
Built end to end, from the CRM to the tool-calling agent to the live-voice stack; in pre-launch.
Auto repair

CarLifeOS: a compliant shop platform, built by AI agents

Problem
An independent New York repair shop was locked into a $179-409/mo SaaS with its own customer and service data held hostage, and needed a self-owned replacement that still meets New York DMV repair rules.
Build
A full NY-compliant shop platform: work board, estimates, repair orders, legally formatted PDF invoices, and an append-only audit trail, built by AI coding agents under strict governance with ~590 tests, plus a Claude photo-OCR that reads plate and odometer at intake.
Proof
A production-grade, regulation-compliant CRM taken from zero to feature-complete in about three days by one part-time engineer directing AI agents.
04 / pricing

Floors published. No meter running.

Fixed prices, agreed up front, with acceptance criteria in writing. These are starting points; discovery is what makes a quote honest.

Discovery sprint
from $7,500

1-2 weeks. The right first step for almost everyone.

  • Workflow shadowing and problem mapping
  • Build plan with the smallest slice that pays
  • Fixed quote for the pilot
  • Yours to keep, even if you build elsewhere
  • Credited toward your pilot if you start within 30 days
Where it gets real Pilot build
from $50,000

4-6 weeks. A working system in production, not a prototype.

  • Smallest end-to-end slice, live with your data
  • Working demo every Friday
  • Acceptance criteria agreed before we start
  • Code in your repo from day one
Run & grow
from $4,000/mo

Ongoing. A care tier that keeps the system sharp, or a full embedded engineer.

  • Monitoring, evals, and model updates
  • Iteration queue with monthly priorities
  • Fractional embedded engineer from $15k/mo
  • Cancel anytime; clean handoff included
Every figure is a floor, not an estimate of your project. Larger and custom builds are quoted after discovery, in writing, with acceptance criteria. Undefined scope is the top cause of AI-project overruns; the discovery sprint is how we make a quote honest.
05 / bring your own project

Already started? We'll take it the rest of the way.

A stalled build, a prototype from an AI tool, a vendor project that lost momentum: we take on existing code too. It begins with a teardown, because we never quote a codebase we have not opened.

AI teardown
from $5,000

3-5 days. The honest first step for any existing project.

  • Architecture and code-quality review
  • Security, secrets, license and ownership check
  • Eval, reliability and running-cost gaps
  • Prioritized fix plan with a fixed quote
  • Credited toward the rebuild if you proceed
Where the fix happens Remediation & hardening
from $35,000

Scoped from the teardown. Production-grade, not a patch.

  • Productionized to acceptance criteria agreed first
  • Fixed price on what the teardown scoped
  • Capped time-and-materials for the unknowns
  • An as-is baseline so pre-existing issues are on record
  • Every change in your repo from day one
Takeover & run
from $4,000/mo

We operate what you have, or what we just fixed.

  • Monitoring, evals and model updates
  • We learn the system before we change it
  • Iteration queue with monthly priorities
  • Embedded engineer from $15k/mo when you need more
  • Cancel anytime; clean handoff included
Before we touch anything, we confirm in writing that you own the code and have the right to change it. We fix what the remediation scope covers and quote separately for the rest, so an unbounded backlog never becomes ours by accident.
06 / team

You meet the whole team on day one.

We keep our profiles off the open web on purpose. Book the intro call, and the engineers you talk to are the engineers who build.

The architect

systems design / infra /
reliability / security

10+ years

full bio on the intro call

The product engineer

interfaces / workflow design /
shipping cadence / demos

10+ years

full bio on the intro call

The integrations engineer

data / APIs / model ops /
evals / legacy systems

10+ years

full bio on the intro call

07 / faq

The questions that matter.

Who owns the code and the data?

You do. Code lives in your repositories, deployed to your accounts, and full ownership transfers on final payment. Your data never trains anyone else's product.

What do you build with?

Whatever fits the problem: Claude, GPT, or open-weight models you can self-host; your cloud or ours. We are model-agnostic on principle, because vendors change and your software should survive that.

How much of our time does this take?

One point person, roughly one to two hours a week: a weekly demo plus quick answers when we hit a domain question. Discovery week is heavier by design; that is when we learn your workflow.

What if we are not sure AI even fits our problem?

That is exactly what the discovery sprint answers. If the honest conclusion is that a boring script or a process change beats an AI system, the build plan says so, and it is still yours to keep.

Do you sign NDAs? What about our customers' data?

Mutual NDA before discovery, standard. Data access is scoped to what the build needs, processed in your environment wherever possible, with data-handling terms written into the agreement.

We already built something with an AI tool or another vendor. Can you take it over?

Yes. That is what Bring your own project is for. It starts with a fixed-fee teardown: we read the code, check security, licensing and ownership, and hand you a written assessment plus a fixed quote to reach production. You keep the assessment whatever you decide next.

Who is responsible for bugs that were there before you arrived?

The teardown documents the system's condition on arrival, so pre-existing defects are on the record before we touch anything. We fix what the remediation scope covers and quote separately for the rest; we never silently inherit an unbounded backlog.

// next step

Tell us what you are trying to build.

30 minutes. no deck. an engineer on the call.