Emblematic, a startup using agentic AI to streamline finance and accounting workflows, has raised $2 million in pre-seed funding. The round was led by Passion Capital, with participation from Caesar VC, Plug and Play, K Fund, and prominent fintech angels, including Chris Adelsbach.
Emblematic was co-founded by fintech entrepreneur Edgar Alvarez and AI specialist Prokopis Gryllos. It addresses a key challenge for mid-market and enterprise finance teams: how to manage increasing transaction volumes, cross-border complexity, and evolving internal accounting workflows, without expanding headcount or resorting to outsourcing.
As companies grow, finance teams must process more invoices, classify transactions and taxes across jurisdictions, and apply internal booking rules consistently. Standard ERP templates and rigid rule engines often don’t adapt to each company’s specific operations. When these gaps persist, the impact can include inaccurate data informing decisions, higher turnover from repetitive tasks, and increased audit and compliance risk.
Emblematic’s approach uses AI agents that learn a company’s internal logic (chart of accounts, cost structures, tax rules, and departmental policies) and apply it at scale to new transactions. Built on multimodal large language models and fine-tuned with company data, the agents autonomously process documents, categorise entries, detect anomalies, and integrate with existing ERP workflows.
Emblematic prioritises transparency, explainability, and human oversight. Its AI agents generate natural-language rationales and confidence scores for each action, enabling accountants to understand recommendations and their basis. A clean, auditable interface with a full audit trail supports governance, while users can review, accept, or override any AI-driven decision.
With this new funding, Emblematic will expand its portfolio of AI agents and accelerate development of core platform capabilities, while continuing to onboard international early adopters in technology and financial services.
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