Über das Projekt:
The challenge
The demand for accurate financial reports is increasing faster the capability of financial teams to cope with it.
Manual data checking is labour-intensive, prone to human-factor issues and can lead to legal fees and repetitional losses.
Solution
FinHound is AI-powered B2B-platform that transforms data routine for audit and finance teams saving time and money.
The demand for accurate financial reports is increasing faster the capability of financial teams to cope with it.
Manual data checking is labour-intensive, prone to human-factor issues and can lead to legal fees and repetitional losses.
Solution
FinHound is AI-powered B2B-platform that transforms data routine for audit and finance teams saving time and money.
Das Team
Olga Fomina, CEO and co-founder
Andrew Shlykov, CTO and co-founder
Bona Chan, Sales Chief
Andrew Shlykov, CTO and co-founder
Bona Chan, Sales Chief
Die Idee
Product
Finhound applies Al (ML/DL), NLP, OCR to check data consistency within a singe financial report or between different documents reducing time spent on data routine checks by up to 70% and mitigating a risk of a mistake in public reports of the companies.
Demo: https://www.youtube.com/watch?v=E9pOvK79PP0
Target audience
1) Finance teams (reporting and accounting departments) in public companies 2) Small and mid-sized auditors 3) Large auditors 4) Regulators, Governance anti-fraud intitutions
Financing plan
Now - self-funded. After the first revenue - will raise the seed-round for 2 years plan (2 mln)
Business Model
FINHOUND AI offers B2B AI-solutions tailored for large firms (audit, insurance etc.).
Main revenue streams:
1) Software as a Service (SaaS): Firms subscribe pay-as-you-use.
2) On-premises: Customised to specific client needs with monthly or annual subscription licensing with support and maintenance included.
3) Premium feature add-ons
4) Consulting services, support
Year 3 after first client, we project annual revenue of around $12 million.
German Expansion Plans
Since both co-founders are based in Germany and have begun exploring the German market—including a recent demo with Telefónica Germany and acceptance into the Campus Founders program in Heilbronn—we aim to establish a formal company presence in Germany soon. This will follow once we achieve initial market validation and secure an investment plan.
Contact me please, so we can chat more about the project :)
Finhound applies Al (ML/DL), NLP, OCR to check data consistency within a singe financial report or between different documents reducing time spent on data routine checks by up to 70% and mitigating a risk of a mistake in public reports of the companies.
Demo: https://www.youtube.com/watch?v=E9pOvK79PP0
Target audience
1) Finance teams (reporting and accounting departments) in public companies 2) Small and mid-sized auditors 3) Large auditors 4) Regulators, Governance anti-fraud intitutions
Financing plan
Now - self-funded. After the first revenue - will raise the seed-round for 2 years plan (2 mln)
Business Model
FINHOUND AI offers B2B AI-solutions tailored for large firms (audit, insurance etc.).
Main revenue streams:
1) Software as a Service (SaaS): Firms subscribe pay-as-you-use.
2) On-premises: Customised to specific client needs with monthly or annual subscription licensing with support and maintenance included.
3) Premium feature add-ons
4) Consulting services, support
Year 3 after first client, we project annual revenue of around $12 million.
German Expansion Plans
Since both co-founders are based in Germany and have begun exploring the German market—including a recent demo with Telefónica Germany and acceptance into the Campus Founders program in Heilbronn—we aim to establish a formal company presence in Germany soon. This will follow once we achieve initial market validation and secure an investment plan.
Contact me please, so we can chat more about the project :)
Abstimmung beendet