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Amalgama Online

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AI automation that really fits your business

Amalgama Online helps B2B companies turn AI from a promising demo into a working part of operations. We audit workflows, prototype against real data, integrate with existing systems and measure the result after launch. Our work covers AI strategy, custom automation, LLM integration, cloud architecture and business process improvement. The team brings twenty years across consulting, enterprise technology and business ownership, including major banks, energy companies and global IT integrators. Every engagement starts with the business decision, keeps assumptions visible and leaves a working solution behind.

  • Min project size
    $10,000+
  • Hourly rate
    $300+ / hr
  • Employees
    2 - 9
  • Locations
    Nessebur, Bulgaria
  • Year founded
    Founded 2020

1 Locations

  • Nessebur , Bulgaria

Service Lines
AI Consulting
15%
AI Agents
10%
AI Development
10%
Business Consulting
10%
Generative AI
10%
Blockchain Marketing
5%
Content Marketing
5%
Conversion Optimization
5%
Digital Strategy
5%
IT Strategy Consulting
5%
Market Research
5%
Marketing Strategy
5%
Product Marketing
5%
UX/UI Design
5%

No Focus Areas have been added yet…

Industries
Business services
40%
Advertising & marketing
15%
Financial services
15%
Information technology
15%
Other industries
15%
Clients
Midmarket ($10M - $1B)
75%
Enterprise (>$1B)
15%
Small Business (<$10M)
10%

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Our Story

Amalgama turns difficult business workflows into practical AI systems. Founder Kirill Kiryushin brings 20 years of technology and consulting experience across major banks, an oil company, global IT integrators and projects involving McKinsey, BCG, PwC, Accenture and EY. He has built three businesses and completed two exits. Each engagement connects business design with hands-on delivery and accountable implementation.

What Sets Us Apart

Senior judgment, hands-on delivery

The same senior operator frames the business problem, designs the workflow and stays accountable through implementation. Decisions do not disappear into a delivery relay.

Business value before model novelty

We start with the workflow, failure cost and review policy. Models come later. The result is an AI system shaped around operating reality rather than a fashionable demo.

Enterprise experience without theatre

Twenty years across technology and consulting bring context from major banks, oil, global IT integrators and projects involving leading consulting firms. The work stays practical and measurable.

Tools and Technology

GitHub
Netlify
AWS
Jira
Airtable
Google Drive
Google Docs
Microsoft Azure
Kubernetes
Power BI
Zendesk
Google Forms

Commonly Asked Questions

We focus on business processes where AI can reduce handling time, improve consistency or help a team make a better decision. Good candidates have a clear owner, repeated work, accessible data and a result the business can measure. Engagements usually start with an assessment, then move into a focused prototype and production implementation with review controls.

We agree on the baseline before building. Depending on the workflow, the useful measure may be cycle time, handling cost, error rate, conversion, review load or another operating result. A model score alone is not a business case. We also track exceptions and the cost of human review so automation does not hide work in a different queue.

Founder Kirill Kiryushin leads the work from problem framing through delivery. Specialists may support a project when their skills are useful, but accountability stays in one place. Clients do not buy senior judgment and then discover that the project has been routed to an anonymous delivery chain.

We define permissions, review points and failure handling before production. Sensitive actions receive human approval. Tests cover expected work and awkward edge cases. Logs make decisions traceable, while access stays limited to what the workflow needs. The control design should fit the cost of a mistake, not a generic checklist.

Locations (1)

Perla 6 Nessebur, Bulgaria 8230

2 - 5

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