Who Is Kontext21?
Who Is Kontext21?
Who Is Kontext21?
We've spent 20 years building tools for finance teams
and we know what it takes to build ones that actually help get work done
We've spent 20 years building tools for finance teams
and we know what it takes to build ones that actually help get work done
We've spent 20 years building tools for finance teams
and we know what it takes to build ones that
actually help get work done
Built by People Who Have Done This Before
Built by People Who
Have Done This Before
Built by People Who
Have Done This Before
Built by People Who Have Done This Before
X21 isn't our first time building software for investment banks, PE firms, and transaction advisors.
The founder has built and sold enterprise software to UBS, McKinsey, Goldman, and hundreds of other firms. Our team has worked inside valuation teams and deal teams. We've applied AI to finance workflows since the week it became possible.
We're not figuring this out as we go. We've done this before.
X21 isn't our first time building software for investment banks, PE firms, and transaction advisors.
The founder has built and sold enterprise software to UBS, McKinsey, Goldman, and hundreds of other firms. Our team has worked inside valuation teams and deal teams. We've applied AI to finance workflows since the week it became possible.
We're not figuring this out as we go. We've done this before.
X21 isn't our first time building software for investment banks, PE firms, and transaction advisors.
The founder has built and sold enterprise software to UBS, McKinsey, Goldman, and hundreds of other firms. Our team has worked inside valuation teams and deal teams. We've applied AI to finance workflows since the week it became possible.
We're not figuring this out as we go. We've done this before.
X21 isn't our first time building software for investment banks, PE firms, and transaction advisors.
The founder has built and sold enterprise software to UBS, McKinsey, Goldman, and hundreds of other firms. Our team has worked inside valuation teams and deal teams. We've applied AI to finance workflows since the week it became possible.
We're not figuring this out as we go. We've done this before.
Trusted by users at leading financial institutions globally
Trusted by users at leading financial institutions globally
Trusted by users at leading financial institutions globally
Kontext 21's Founder
Kontext21's Founder
Kontext21's Founder
Jan Mechtel
Founder & CEO
Nearly 20 years building enterprise software for finance teams
Founder & CEO
Nearly 20 years building enterprise software for finance teams
Founder & CEO
Nearly 20 years building enterprise software for finance teams
Founder & CEO
Nearly 20 years building enterprise software for finance teams
Jan co-founded SlideProof, which became Templafy, one of the largest document automation platforms in the world. For nearly two decades, he built software that investment banks, PE firms, and consulting teams actually used every day.
Templafy clients included:
UBS
McKinsey & Company
Goldman Sachs
Boston Consulting Group
Morgan Stanley
Jan co-founded SlideProof, which became Templafy, one of the largest document automation platforms in the world. For nearly two decades, he built software that investment banks, PE firms, and consulting teams actually used every day.
Templafy clients included:
UBS
McKinsey & Company
Goldman Sachs
Boston Consulting Group
Morgan Stanley
Jan co-founded SlideProof, which became Templafy, one of the largest document automation platforms in the world. For nearly two decades, he built software that investment banks, PE firms, and consulting teams actually used every day.
Templafy clients included:
UBS
McKinsey & Company
Goldman Sachs
Boston Consulting Group
Morgan Stanley
Jan co-founded SlideProof, which became Templafy, one of the largest document automation platforms in the world. For nearly two decades, he built software that investment banks, PE firms, and consulting teams actually used every day.
Templafy clients included:
UBS
McKinsey & Company
Goldman Sachs
Boston Consulting Group
Morgan Stanley
The Team
The Team
Why Our Team Composition Matters
Why Our Team Composition Matters
Building AI for Excel is a two-sided problem:
1. The AI has to work. You need ML engineers who can make large language models interact reliably with complex Excel workbooks, multi-tab models, circular references, dynamic arrays, the works.
2. The AI has to solve the right problems. You need people who've actually built DCF models at 2am, who know why working capital is complicated, who understand the difference between how a VP reviews a model and how a Partner does.
Most AI companies have one or the other. We have both.
Building AI for Excel is a two-sided problem:
1. The AI has to work. You need ML engineers who can make large language models interact reliably with complex Excel workbooks, multi-tab models, circular references, dynamic arrays, the works.
2. The AI has to solve the right problems. You need people who've actually built DCF models at 2am, who know why working capital is complicated, who understand the difference between how a VP reviews a model and how a Partner does.
Most AI companies have one or the other. We have both.
Software Engineering
Our ML engineers have built AI systems that interact with complex software environments. They understand the specific challenges of Excel.
We're not wrapping an API and hoping for the best. We're building infrastructure purpose-built for financial modeling workflows.
Our ML engineers have built AI systems that interact with complex software environments. They understand the specific challenges of Excel.
We're not wrapping an API and hoping for the best. We're building infrastructure purpose-built for financial modeling workflows.
M&A Practitioners
M&A Practitioners
Our team includes people who've worked in:
Investment banking (coverage and M&A)
Private equity (deal teams and portfolio ops)
Transaction advisory (FDD and QoE)
Valuation services (ASC 805, 820, 409A)
When a customer describes a workflow problem, we don't need a translator. We've lived it.
This isn't theoretical. Our M&A practitioners work directly with customers to understand their specific processes, then work with engineering to build capabilities that actually fit how work gets done.
Our team includes people who've worked in:
Investment banking (coverage and M&A)
Private equity (deal teams and portfolio ops)
Transaction advisory (FDD and QoE)
Valuation services (ASC 805, 820, 409A)
When a customer describes a workflow problem, we don't need a translator. We've lived it.
This isn't theoretical. Our M&A practitioners work directly with customers to understand their specific processes, then work with engineering to build capabilities that actually fit how work gets done.
Backed by Leading Venture Capital Firms
Backed by Leading Venture Capital Firms
Backed by Leading Venture Capital Firms
Backed by Leading Venture Capital Firms
X21 is venture-backed by investors with deep expertise in enterprise software.
What this means:
Capital to execute. Building enterprise-grade AI for Excel requires sustained investment in engineering, security infrastructure, and customer success. We have the runway to do this right, not rush a half-built product to market.
Advisory expertise. Our investors have backed and scaled enterprise software companies serving financial institutions. They know the sales cycles, the compliance requirements, and the product expectations. Their guidance helps us avoid the mistakes that kill early-stage enterprise companies.
Long-term commitment. We're not bootstrapping on a shoestring or dependent on a single customer contract. We have institutional backing to build a company that will be here in five years, ten years, and beyond.
Building AI that investment banks and PE firms will actually trust with their deal models isn't a side project. It requires serious capital and serious expertise. We have both.
X21 is venture-backed by investors with deep expertise in enterprise software.
What this means:
Capital to execute. Building enterprise-grade AI for Excel requires sustained investment in engineering, security infrastructure, and customer success. We have the runway to do this right, not rush a half-built product to market.
Advisory expertise. Our investors have backed and scaled enterprise software companies serving financial institutions. They know the sales cycles, the compliance requirements, and the product expectations. Their guidance helps us avoid the mistakes that kill early-stage enterprise companies.
Long-term commitment. We're not bootstrapping on a shoestring or dependent on a single customer contract. We have institutional backing to build a company that will be here in five years, ten years, and beyond.
Building AI that investment banks and PE firms will actually trust with their deal models isn't a side project. It requires serious capital and serious expertise. We have both.
X21 is venture-backed by investors with deep expertise in enterprise software.
What this means:
Capital to execute. Building enterprise-grade AI for Excel requires sustained investment in engineering, security infrastructure, and customer success. We have the runway to do this right, not rush a half-built product to market.
Advisory expertise. Our investors have backed and scaled enterprise software companies serving financial institutions. They know the sales cycles, the compliance requirements, and the product expectations. Their guidance helps us avoid the mistakes that kill early-stage enterprise companies.
Long-term commitment. We're not bootstrapping on a shoestring or dependent on a single customer contract. We have institutional backing to build a company that will be here in five years, ten years, and beyond.
Building AI that investment banks and PE firms will actually trust with their deal models isn't a side project. It requires serious capital and serious expertise. We have both.