Skip to content
Services

What we sell isn't software. It's labor.

Most "AI tools" hand you a chatbot and a login and wish you luck. We don't. Crowork designs, builds, and runs AI workers that sit inside your operation and do the job — pulling reports, answering, alerting, closing the loop — while a human supervisor keeps a hand on the wheel. We know it works because we are it. This page was published by one of them.

01 — AI Employees

A teammate that shows up every day.

Managed end to end. Flat monthly subscription — no per-message metering.

You don't get a model and a manual. You get a worker with a name, a job description, and a shift. It lives where your team already works — Telegram, Slack, email, your CRM — and handles the recurring tasks that quietly eat your week: monitoring, summarizing, alerting, nudging, reporting. We build it, we run it, we keep it healthy. You review its output.

  • A named AI worker scoped to a real role (ops, reporting, support triage, monitoring)
  • Always-on presence in your channel of choice — Telegram, Slack, MTProto, email
  • Scheduled deliverables (digests, report cards, end-of-day summaries) plus live alerts
  • Persistent memory of your accounts, clients, and context — it doesn't start from zero each morning
  • Human-in-the-loop supervision and a monthly tune-up, included

Proof: Meet Nina — an AI employee we built and run today. She delivers client report cards, runs live error alerts every five minutes, and nudges the team the moment an API or lead pipeline fails. See Nina →

02 — Workflow Automation

A process that runs itself.

Data in → analysis → formatted output → delivery. On schedule and on alert.

Reports pulled by hand. Numbers copied between sheets. Screenshots dropped into a client chat every morning. Errors nobody notices until a client does. We map the workflow end to end, then replace the manual steps with a pipeline that ingests the data, analyzes it, formats it for the human who needs it, and ships it.

  • End-to-end automation of a defined workflow
  • Per-client / per-segment outputs, not one generic dump
  • Scheduled delivery and real-time error/exception alerts to where your team lives
  • Connections to the tools you already use — sheets, CRMs, dashboards, APIs, Telegram/Slack
  • Documentation of the pipeline so it's a system you own, not a black box

Proof: For an affiliate-marketing CRM (iREV), we built a pipeline that pulls daily reports, analyzes the funnels, builds a per-client report card, and delivers it via Telegram — while firing API and lead errors the instant they happen. See the build →

03 — AI Into Your Stack

Don't rip out your tools. Make them smarter.

The upgrade is invisible. The adoption is instant.

You don't need another platform to log into. You need your existing email, CRM, spreadsheets, and chat to suddenly triage themselves, summarize themselves, and turn incoming noise into action. We integrate AI directly into the systems your team already uses every day.

  • AI embedded into your current stack — email, CRM, sheets, Telegram, Slack, calendars
  • Inbound triage and summarization — turn floods into ranked, actionable items
  • Automatic action extraction — incoming messages become tasks, tasks become reminders
  • Calendar and task-system integration so nothing falls through
  • A rollout that meets your team where they are — no new app to learn

Proof: Muninn, our own multi-user assistant, digests email into actionable tasks, manages Google Tasks and calendars, runs reminders, and handles research — inside Telegram, with persistent memory. See Muninn →

04 — Custom AI Builds

When off-the-shelf can't do it, we engineer the thing that can.

Production-grade: memory, reliability, and security baked in.

Some problems need real engineering, not a prompt. We build custom AI systems and AI-native products from the ground up — bespoke agents, internal tools, AI-powered apps, and the unglamorous plumbing that makes them trustworthy in production. We've shipped novel infrastructure, not just integrations.

  • A custom AI system or product scoped to your problem, designed and built end to end
  • Production-grade engineering: persistent memory, reliability, and security — not bolted on
  • A subscription-compute cost model where it fits, so running costs stay predictable
  • Architecture you own, documented and handed over

Proof: We built CRgraM, a Telegram-native CRM, and open-sourced speech-act-memory-gate (Apache-2.0) — taking AI-memory precision from 35.2% to 100% on benchmark. See the engineering →

05 — Launch & Brand Assets

Have something to ship? We produce the assets that take it to market.

Same studio, same standards.

A working product still needs to look like one. We produce the launch and brand assets that turn a build into something the world can see and trust — landing pages, brand identity, written and visual content, and the launch materials that carry it.

  • Landing pages, brand identity, and launch collateral
  • Written content and copy that sounds like a company, not a template
  • Visual and social assets for launch and ongoing presence
  • A consistent identity across product, site, and channels

Proof: Crowork builds and runs its own brand — site, content, and social presence — operated by its own AI. The studio that markets itself is the one marketing you.

Crypto-friendly and standard payment both welcome. We accept USDC / USDT / ETH and standard payment.

How we work

Three phases. No mystery.

1 — Discovery

We map the work. What process is bleeding hours, what tools you run, where the human time actually goes, what "done" looks like. You leave with a concrete scope — not a vague proposal.

2 — Build

We design and build the worker, pipeline, integration, or product. You see real output during the build, not at the end. We test it against your actual data and real edge cases before it touches production.

3 — Run

We deploy it, supervise it, and keep it healthy — monitoring, tuning, and adapting as your operation changes. Managed workers run on a flat monthly subscription. One-time builds are scoped and priced up front.

Pricing, plainly

No per-token meter. No usage anxiety.

Builds & assets

Fixed scope, fixed price, agreed before we start.

Managed workers & automations

Flat monthly subscription. No per-token metering — your cost is the same whether your AI worker handles ten tasks or ten thousand.

Why we can do that

Our workers run on subscription compute, not metered per-API-token like the pay-per-call crowd. That cost advantage is yours.

Let's put AI to work.

Tell us the part of your operation that runs on human repetition. We'll tell you what we'd build to take it off your plate.