Otakoyi

OTAKOYI provides end-to-end custom software development, IT consulting, and team augmentation for startups, scaleups, and enterprises. Its ecosystem also includes:

• SolveMind: AI systems including predictive analytics, natural language processing, and automation.
• HOLY.DESIGN: Brand identities and digital experiences, including logo design, brand strategy, and UI/UX.

The company was founded in 2011 by Serhiy Lavrynenko and Volodymyr Hodiak. OTAKOYI later expanded internationally, became an official Flutter consultant in 2023, a certified Webflow partner in 2024, and launched a UAE entity and new design division in 2025.

OTAKOYI serves industries including healthcare, real estate, e-learning and EdTech, FinTech, energy, lifestyle and social, retail and distribution, and logistics and automotive.

The company also highlights social-impact initiatives such as humanitarian support in Ukraine, charity fundraising, volunteer activities, and assistance for displaced families and volunteers.

Audit and Automate

For teams that know they are losing time but do not know which process to automate. OTAKOYI maps processes, scores opportunities by effort and payback, and provides a process map, prioritized roadmap, solution blueprints, and ROI model before development. The team then implements the three to six automations with the fastest payback.

Direct Build

For a clearly defined workflow. OTAKOYI scopes the work in one working session called a Zero Sprint, agrees on the implementation approach and price, and then builds without a team-wide discovery phase.

Delivery process

1. Intro call: A free one- or two-call review of the process, tools, and time costs, followed by an honest go/no-go and recommended route.
2. Scoping: Either a one- to two-week Automation Audit or a single Zero Sprint working session.
3. Implementation: Three to six automations are put into production, tested, documented, and reviewed with user acceptance testing based on real operational cases. Team training is included.
4. Go-live and monitoring: The handover includes a runbook and KPI baseline, plus 30 days of active monitoring.
5. Optional AI Operations Care: Monthly optimization, a performance report, and support tiers of 8, 16, or 24 hours per month. The Premium tier also includes a quarterly business review.

Starting prices

• Foundation: From $3,600 for teams of 3–8, covering one or two simpler processes and up to four integrations. The audit-led path starts at $7,100.
• Growth: $7,900 for teams of 8–25, with a mix of simple, medium, and large workflows. The audit-led path starts at $11,400.
• Scale: $12,200 for teams of 25 or more, or complex technology stacks. The audit-led path starts at $15,700.

A tool without a ready-made connector may add $1,500–$3,000 to the Foundation option, priced during the intro call.

OTAKOYI states that clients receive complete ownership of the automations and code, including documentation, a credentials map, a runbook, and recorded training. There is no license or per-seat fee.

• AI chat assistants: Conversational assistants using natural language processing for inquiries, tailored responses, and round-the-clock support.
• AI voice assistants: Voice automation for incoming calls and frequently asked questions.
• AI voice outbound agents: Agents for lead qualification and appointment scheduling.
• AI multi-agent systems: Networks of AI tools that collaborate on complex processes across departments.
• AI text and voice copilots: Assistants integrated with internal systems to provide information through text and voice.
• Rule-based chatbots: Rule-driven tools for repetitive tasks and common questions.

Capabilities and use cases

AI assistants can support natural-language understanding, knowledge graph integration, connections to tools such as Google Workspace, Slack, and CRM systems, and multimodal processing of text, voice, and images.

Use cases include:

• Customer support, including 24/7 assistance, troubleshooting, multilingual support, and context-aware conversations.
• Sales and marketing, including lead generation, outreach, follow-ups, appointments, CRM integration, promotional content, and campaign analytics.
• Internal operations and workflow optimization.
• Legal work, including contract generation, risk identification, legal research, and regulatory tracking.
• Human resources, including resume screening, onboarding, productivity analysis, payroll, and benefits tracking.
• Appointment voice assistants connected to booking systems, calendars, and databases.

Development process

OTAKOYI's process includes discovery, design, data preparation, custom algorithm development, AI model training, system integration, comprehensive testing, deployment, security and compliance, and ongoing support. Integrations can include CRMs, ERPs, and other business platforms.

What clients can expect

• Architecture is approved before code is written.
• Every project is led by a senior full-stack engineer.
• AI agents execute tasks, while engineers make architectural decisions and review the work.
• Documentation is updated alongside the code.
• Key steps require an engineer's review before proceeding.

How MAE works

1. Specification: Define the task and acceptance criteria.
2. Plan before code: The agent proposes the architecture and approach, which the engineer reviews.
3. Engineer approval: Work cannot proceed without confirmation.
4. Controlled implementation: Modules are built and reviewed individually.
5. Result verification: Each module is tested against the original specification.
6. Documentation and release: Documentation is updated with the code before merge and deployment.

MAE uses a pod model with a product owner, a senior full-stack engineer, and AI QA agents. One AI QA agent generates test cases from the specification, while another runs them before the engineer reviews the results.

Discovery and risk control

Discovery is a fixed-scope, fixed-price stage used to clarify goals, architecture, integrations, risks, and unknowns before development begins. Success criteria are defined in measurable terms, and each identified risk is assigned an owner and date.

MAE is designed for work that has measurable success criteria and can be divided into small, independently verifiable modules. It is less suitable when success cannot be defined in advance, when a new architectural trade-off requires human judgment, when a client expects no human review, or when the project uses a stack far from an existing managed pattern library.

MAETON foundation

MAETON is OTAKOYI's ready technical foundation for MAE. It includes authentication, multi-tenancy, billing, queues, notifications, file storage, and a basic admin panel. OTAKOYI states that a new project can start approximately 70% complete at the foundation level.