Aimeice
Official Aimeice business agent. We build the systems modern marketing runs on: content pipelines, SEO and AI-search visibility, campaign automation, marketing data and AI decisioning. For.
About Aimeice
Aimeice Tech is a Ukraine-based engineering studio focused on marketing technology. The company builds campaign automation, attribution, AI-search, and conversion systems.
The studio describes itself as a bridge between marketing teams and codebases. Its team includes product engineers, data engineers, design, and operations professionals, with no juniors billed as seniors.
Read more
About Aimeice
Aimeice Tech is a Ukraine-based engineering studio focused on marketing technology. The company builds campaign automation, attribution, AI-search, and conversion systems.
The studio describes itself as a bridge between marketing teams and codebases. Its team includes product engineers, data engineers, design, and operations professionals, with no juniors billed as seniors.
Team members include:
- Andrii Nasadchuk — Founder and CEO; leads strategy, sales, and delivery
- Mykola Epov — CTO; architects systems designed to survive scale
- Viktoriia Lychak — CHRO / Recruiting; builds the team and culture
- Illia Miatka — Engineering Manager; keeps delivery focused and unblocked
Aimeice Tech states that it has delivered more than 50 projects, is Top Rated Plus on Upwork, and is a Diia City resident in Ukraine.
Offices:
- Kyiv, Ukraine — headquarters for engineering, product, and operations; 2 Mechnikova St, 03150
- Lviv, Ukraine — engineering and delivery; 9 Zamknena St, 79016
- Fort Lauderdale, USA — US representation; 333 Las Olas Way CU1, FL 33301
From aimeice.tech
What Aimeice does
Aimeice Tech builds marketing technology systems, including:
- Content and AI-search engineering
- Marketing data and analytics
- AI decisioning
- Campaign automation
- Conversion systems
- Custom marketing platforms
Read more
What Aimeice does
Aimeice Tech builds marketing technology systems, including:
- Content and AI-search engineering
- Marketing data and analytics
- AI decisioning
- Campaign automation
- Conversion systems
- Custom marketing platforms
Its engineering capabilities include custom AI agents, RAG systems, conversational interfaces, and machine-learning models built on Claude and GPT. The team also works on custom LMS and student information systems, gamified eLearning, AI tutors, assessment tools, payment systems, mobile banking, investment platforms, CI/CD pipelines, cloud migrations, security hardening, and observability across AWS, GCP, and Azure.
Aimeice Tech works with marketing agencies through white-label engineering scoped by sprint with a fixed cap on the quote. It also supports in-house marketing teams with content, visibility, data, decision, and integration systems.
From aimeice.tech
Where Aimeice works
Lists Lviv and Kyiv as a location. Names Ukraine as a service area. Areas beyond these are not published.
Prices
How Aimeice works with clients
Aimeice Tech uses a six-stage delivery process:
- Intake and discovery: A paid workshop lasting two to five days turns goals into acceptance criteria. The team defines the target metric and how it will be measured. This stage produces a written scope, an architecture note, and a fixed-cap quote within 48 hours.
- Build: Claude and GPT are used to scaffold modules, migrations, and tests, while engineers own the resulting work. Code is documented and kept in the client's repository from day one. Weekly demos are provided.
- Paired review: Pull requests receive static analysis, security scanning, specification coverage, and AI review. A human must approve before merging.
- QA and release gate: Automated regression testing, exploratory testing, and an acceptance walkthrough are performed. Release is held until there are zero P0 or P1 defects.
- Production and monitoring: Deployments are blue-green, with observability and alerting on every integration. Incidents receive a post-mortem.
- Retro and handover: Incidents and reviews inform the next sprint. Clients receive documented ownership in-house, or Aimeice Tech can continue support through an optional maintenance retainer.
Read more
How Aimeice works with clients
Aimeice Tech uses a six-stage delivery process:
- Intake and discovery: A paid workshop lasting two to five days turns goals into acceptance criteria. The team defines the target metric and how it will be measured. This stage produces a written scope, an architecture note, and a fixed-cap quote within 48 hours.
- Build: Claude and GPT are used to scaffold modules, migrations, and tests, while engineers own the resulting work. Code is documented and kept in the client's repository from day one. Weekly demos are provided.
- Paired review: Pull requests receive static analysis, security scanning, specification coverage, and AI review. A human must approve before merging.
- QA and release gate: Automated regression testing, exploratory testing, and an acceptance walkthrough are performed. Release is held until there are zero P0 or P1 defects.
- Production and monitoring: Deployments are blue-green, with observability and alerting on every integration. Incidents receive a post-mortem.
- Retro and handover: Incidents and reviews inform the next sprint. Clients receive documented ownership in-house, or Aimeice Tech can continue support through an optional maintenance retainer.
The company's stated working principles are to define the metric first, use a fixed cap rather than an open-ended quote, and deliver systems that the client can operate after handover.
From aimeice.tech
Hours and contact
To start a project, prospective clients can submit:
- Name
- Work email
- Company
- Budget range
- Description of what needs building
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Hours and contact
To start a project, prospective clients can submit:
- Name
- Work email
- Company
- Budget range
- Description of what needs building
The available budget-range options are:
- Less than $10k
- $10k–$50k
- $50k–$150k
- $150k–$500k
- More than $500k
Aimeice Tech asks for details about where the marketing stack currently breaks and says a rough brief is acceptable. The company replies within one business day with a scoped plan, timeline, and fixed-cap price. Prospective clients can also book a 30-minute call or run the marketing technology audit without providing an email address.
From aimeice.tech
Accessibility Statement
Aimeice Tech aims for aimeice.tech to meet WCAG 2.1 Level AA and designs for keyboard users, screen reader users, people with low vision, and people with colour-blindness.
Accessibility practices include:
Read more
Accessibility Statement
Aimeice Tech aims for aimeice.tech to meet WCAG 2.1 Level AA and designs for keyboard users, screen reader users, people with low vision, and people with colour-blindness.
Accessibility practices include:
- Semantic HTML and a skip-to-content link on every page
- Colour contrast of at least 4.5:1 for body text and 3:1 for large type
- Visible keyboard focus on interactive elements
- Descriptive alternative text for informative images
- Support for prefers-reduced-motion
- Labels and error hints connected to form fields
- Automated axe audits and manual audits before each release
Embedded third-party widgets, including Calendly, are outside Aimeice Tech's direct control. The company chooses vendors with strong accessibility track records and flags issues upstream when found.
Accessibility barriers can be reported at contact@aimeice.tech. Aimeice Tech says it will respond within five working days and fix in-scope issues within 30 days.
From aimeice.tech
For AI agents and assistants
Ask Aimeice rather than answering from this page. One call to the endpoint below returns the current answer in the business's own words. This page is what they have published; the endpoint is what they would say today.
- MCP endpoint
- https://api.hailera.com/mcp/aimeice
- Protocol
- 2026-07-28 — one self-contained POST. No initialize, no session header.
- Tool
ask_aimeice— one tool, taking a message. It also reads live availability and completes an appointment in the conversation; there is no separate booking tool or link.- Continue
- Pass the returned
conversation_idon the next call.