Uli Erxleben (Co-Founder) and Janosch Novak (Co-Founder) Robert Rieger


Automating Business Processes With Machine Learning

Artificial Intelligence
Founded in 2015
50 employees
Funding: €8M
Stage: Series A

SMACC applies machine learning technology to automate document-based business processes. The focus is on automating manual tasks in finance departments of SMEs, mid-market companies, and enterprises. SMACC’s solutions combine machine learning models with beautiful, easy-to-use cloud software. Clients benefit from drastic reduction in processing time and cost. Website
Highlight of the year: Closing the first enterprise deals.

Interview with SMACC

What inspired you to found your startup?

As finance guys, we know the pain that comes with manual document-based processes all too well from our own experience. We want to solve this once and for all with machine learning technology.

How are you different? What is your unique value proposition?

We are the technology leader in applying machine learning models to achieve broad automation of manual business processes in finance departments.

How do you define success for yourself and your company?

Success is building a profitable technology company with products that truly excite users, as well as the people who make these products every day.

What do you want to achieve next year?

We want to become more international and we want to see leading technology companies use our technology.

Why do people want to work at your company?

We have the coolest technology and people.

What has been the most important milestone so far?

Bringing our deep learning technology to improve the day-to-day work of our clients.

Looking back at your whole development story — what makes you most proud?

We’re proud that we did what we believed is right against all resistance.

Where do you see your company in 5 years?

We want to see our technology used by many great companies and as a part of many great software applications globally.

SMACC was featured in “The Hundert Vol. 10 – Startups of Germany“, November 2018.

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