Each episode brings financial leaders, investors, founders, economists, and policymakers into conversation about what is changing now and where money and opportunity are moving as a result.
Made for investors, founders, and business owners, it offers a practical view of the AI economy from the people doing the work.
Track Record is produced by Tramlines. We are industrialising AI through domain expert led startups, mid-market acquisitions, and enterprise partnership. If you'd like to learn more about how we're transforming industries, get in touch.
Hosted on Acast. See acast.com/privacy for more information.
]]>Each episode brings financial leaders, investors, founders, economists, and policymakers into conversation about what is changing now and where money and opportunity are moving as a result.
Made for investors, founders, and business owners, it offers a practical view of the AI economy from the people doing the work.
Track Record is produced by Tramlines. We are industrialising AI through domain expert led startups, mid-market acquisitions, and enterprise partnership. If you'd like to learn more about how we're transforming industries, get in touch.
Hosted on Acast. See acast.com/privacy for more information.
]]>He tells Albert what pubs taught him about people, why he started a bank when everyone else was cutting costs, and why domain experts with the right support deserve a chance even if they never become unicorns.
Key Moments:
00:00 Introduction
01:44 A background to Craig's early life
03:10 From technologist to banker
04:13 Pubs, tills and "business is people"
05:08 84 branches in East Africa at 25
06:14 Why people took a chance on him
07:37 RBS and the global financial crisis
08:08 Learning from the hard times
09:08 Intellect, interpersonal skills and hard work
10:15 Resilience and boss watching
11:56 From doing to leading
13:50 Dave Craggs and the curve on the graph
16:24 Energy from someone else closing the deal
17:29 Why start a bank?
18:17 The zig and the zag
19:38 A call from Vernon Hill
20:52 The first new high street bank in over 100 years
22:23 Printing cards in store
24:04 Create fans
24:51 Fail fast
25:31 Seven years to IPO
27:17 Proof points and stage gates
28:48 Statements, post boxes and mirrors
30:41 What Metro taught him
32:21 Human-led businesses in an AI world
34:24 Leaving Metro Bank
38:37 Meeting Albert and telling him everything
41:37 How Tramlines started
44:33 Discipline, and AI as a tool
46:17 What excites Craig now
48:54 Why experienced people come to Tramlines
51:44 The £100m question
52:52 Advice for Albert
54:52 Close
Track Record is produced by Tramlines. We are industrialising AI through domain expert led startups, mid-market acquisitions, and enterprise partnership. If you'd like to learn more about how we're transforming industries, get in touch.
Learn more at https://www.tramlines.com
Hosted on Acast. See acast.com/privacy for more information.
]]>He tells Albert what pubs taught him about people, why he started a bank when everyone else was cutting costs, and why domain experts with the right support deserve a chance even if they never become unicorns.
Key Moments:
00:00 Introduction
01:44 A background to Craig's early life
03:10 From technologist to banker
04:13 Pubs, tills and "business is people"
05:08 84 branches in East Africa at 25
06:14 Why people took a chance on him
07:37 RBS and the global financial crisis
08:08 Learning from the hard times
09:08 Intellect, interpersonal skills and hard work
10:15 Resilience and boss watching
11:56 From doing to leading
13:50 Dave Craggs and the curve on the graph
16:24 Energy from someone else closing the deal
17:29 Why start a bank?
18:17 The zig and the zag
19:38 A call from Vernon Hill
20:52 The first new high street bank in over 100 years
22:23 Printing cards in store
24:04 Create fans
24:51 Fail fast
25:31 Seven years to IPO
27:17 Proof points and stage gates
28:48 Statements, post boxes and mirrors
30:41 What Metro taught him
32:21 Human-led businesses in an AI world
34:24 Leaving Metro Bank
38:37 Meeting Albert and telling him everything
41:37 How Tramlines started
44:33 Discipline, and AI as a tool
46:17 What excites Craig now
48:54 Why experienced people come to Tramlines
51:44 The £100m question
52:52 Advice for Albert
54:52 Close
Track Record is produced by Tramlines. We are industrialising AI through domain expert led startups, mid-market acquisitions, and enterprise partnership. If you'd like to learn more about how we're transforming industries, get in touch.
Learn more at https://www.tramlines.com
Hosted on Acast. See acast.com/privacy for more information.
]]>He went on to help build AltFi, a publication covering fintech, from around 2016 until it was bought by a family office. Along the way he met the early teams at Revolut and Monzo, when Revolut had just one product and a team of 10 or 20.
He is now Managing Director of Funds at Tramlines. In this episode of Track Record, Albert asks how that career shaped the way Daniel now thinks about founders, investing and AI. They cover how his years as a reporter taught Daniel to judge founders, why he thinks domain experts could overtake the 'Stanford dropout', and how to keep a clear head about AI.
Key Moments:
00:00 Introduction
01:43 Daniel's role at Tramlines
02:40 Istanbul, Tintin and becoming a journalist
05:28 The Times, The Grocer and following the money
06:31 From financial markets to fintech
08:19 Why UK Fintech took off
09:15 Branches: from moat to millstone
10:08 Revolut, Monzo and Starling in the early days
11:50 Three tracks: a business, a cycle and investors
13:28 A football hedge fund and a buoy on a beach
14:17 AltFi and learning to sell
16:49 Inside versus outside
17:18 The 2021 boom and the downturn
18:49 Deciding to become an investor
20:12 Meeting Albert
21:23 VC as a five-year-old's football match
22:24 Where the value lies now
23:31 Why the best founders are domain experts
25:12 When the big names caught on
25:53 "I will never have an app-only bank"
27:25 Scaling domain expertise with AI
28:52 Going earlier: meeting founders before they quit
31:10 Consultancy as a way in
32:59 What AI changes for investors
35:09 Everyone at Tramlines was at the front
36:19 Keeping two sets of books
38:29 Analog in an AI world
39:13 How to get to the front of AI
40:40 Think, plan, do
41:40 Three ways to use two sets of books
43:06 The £100m question
45:21 Advice for Albert
46:24 Closing remarks
Track Record is produced by Tramlines. We are industrialising AI through domain expert led startups, mid-market acquisitions, and enterprise partnership. If you'd like to learn more about how we're transforming industries, get in touch.
Learn more at https://www.tramlines.com
Hosted on Acast. See acast.com/privacy for more information.
]]>He went on to help build AltFi, a publication covering fintech, from around 2016 until it was bought by a family office. Along the way he met the early teams at Revolut and Monzo, when Revolut had just one product and a team of 10 or 20.
He is now Managing Director of Funds at Tramlines. In this episode of Track Record, Albert asks how that career shaped the way Daniel now thinks about founders, investing and AI. They cover how his years as a reporter taught Daniel to judge founders, why he thinks domain experts could overtake the 'Stanford dropout', and how to keep a clear head about AI.
Key Moments:
00:00 Introduction
01:43 Daniel's role at Tramlines
02:40 Istanbul, Tintin and becoming a journalist
05:28 The Times, The Grocer and following the money
06:31 From financial markets to fintech
08:19 Why UK Fintech took off
09:15 Branches: from moat to millstone
10:08 Revolut, Monzo and Starling in the early days
11:50 Three tracks: a business, a cycle and investors
13:28 A football hedge fund and a buoy on a beach
14:17 AltFi and learning to sell
16:49 Inside versus outside
17:18 The 2021 boom and the downturn
18:49 Deciding to become an investor
20:12 Meeting Albert
21:23 VC as a five-year-old's football match
22:24 Where the value lies now
23:31 Why the best founders are domain experts
25:12 When the big names caught on
25:53 "I will never have an app-only bank"
27:25 Scaling domain expertise with AI
28:52 Going earlier: meeting founders before they quit
31:10 Consultancy as a way in
32:59 What AI changes for investors
35:09 Everyone at Tramlines was at the front
36:19 Keeping two sets of books
38:29 Analog in an AI world
39:13 How to get to the front of AI
40:40 Think, plan, do
41:40 Three ways to use two sets of books
43:06 The £100m question
45:21 Advice for Albert
46:24 Closing remarks
Track Record is produced by Tramlines. We are industrialising AI through domain expert led startups, mid-market acquisitions, and enterprise partnership. If you'd like to learn more about how we're transforming industries, get in touch.
Learn more at https://www.tramlines.com
Hosted on Acast. See acast.com/privacy for more information.
]]>Key Moments:
00:00 Introduction
01:23 Francesca's background
02:57 Relationships, trust and discovering your purpose
05:43 How Fran coaches: starting with the problem
07:56 The trouble with the big idea
10:31 Vision, the minimum viable business and the beachhead
11:25 Build with, not for
12:55 The seven validation gateways
15:11 Raising 15 million with 5% of the equity
16:32 Revenue, the funding people overlook
17:58 There's always a cost
19:27 Women founders and the funding gap
24:40 Why venture capital is a hammer
25:58 The loneliness of a venture-backed founder
27:45 Separating governance from management
29:01 Psychological safety and leadership styles
31:03 Shared ownership and collaboration
33:41 AI amplifies what you put in
36:15 The false sense of security
39:02 Domain expertise plus AI expertise
40:32 Thought processing, AI slop and checking the output
42:43 Where the opportunity is for founders
44:13 The barrier to innovation is now the ability to speak
45:38 Where Francesca would invest £100m
47:31 Closing remarks
Track Record is produced by Tramlines. We are industrialising AI through domain expert led startups, mid-market acquisitions, and enterprise partnership. If you'd like to learn more about how we're transforming industries, get in touch.
Learn more at https://www.tramlines.com
Hosted on Acast. See acast.com/privacy for more information.
]]>Key Moments:
00:00 Introduction
01:23 Francesca's background
02:57 Relationships, trust and discovering your purpose
05:43 How Fran coaches: starting with the problem
07:56 The trouble with the big idea
10:31 Vision, the minimum viable business and the beachhead
11:25 Build with, not for
12:55 The seven validation gateways
15:11 Raising 15 million with 5% of the equity
16:32 Revenue, the funding people overlook
17:58 There's always a cost
19:27 Women founders and the funding gap
24:40 Why venture capital is a hammer
25:58 The loneliness of a venture-backed founder
27:45 Separating governance from management
29:01 Psychological safety and leadership styles
31:03 Shared ownership and collaboration
33:41 AI amplifies what you put in
36:15 The false sense of security
39:02 Domain expertise plus AI expertise
40:32 Thought processing, AI slop and checking the output
42:43 Where the opportunity is for founders
44:13 The barrier to innovation is now the ability to speak
45:38 Where Francesca would invest £100m
47:31 Closing remarks
Track Record is produced by Tramlines. We are industrialising AI through domain expert led startups, mid-market acquisitions, and enterprise partnership. If you'd like to learn more about how we're transforming industries, get in touch.
Learn more at https://www.tramlines.com
Hosted on Acast. See acast.com/privacy for more information.
]]>In this episode of Track Record, Albert Azis-Clauson talks to Edward Keelan, a partner at Octopus Ventures, about the shift from traditional SaaS metrics to a world where pricing, retention and outcomes are still being worked out. They discuss why revenue and the speed of revenue growth matter earlier than many founders expect, why enterprise AI adoption is closer to workflow transformation than buying software off the shelf, and why customer relationships are becoming more consulting-like.
Ed also shares his experience of moving from Rolls-Royce and a startup into venture, and they discuss socio-economic access to capital, education, personal relationships and the risk of relationship-led investing reproducing existing networks.
The conversation ends with a shared challenge to early-stage VC: as technology becomes easier to build, domain expertise, customer knowledge and the ability to deliver in a specific vertical may become the more durable advantage.
Key Moments:
00:00 Introduction: Ed Keelan on AI and investment
02:29 From Rolls-Royce and startups to Octopus
05:24 Why entrepreneurs and small companies matter
09:39 AI outreach and the return of personal relationships
12:53 Socio-economic access, education and aspiration
20:29 How AI is changing growth-stage investing
23:54 Pricing, product-market fit and unsettled metrics
27:04 Enterprise adoption and transformation
30:16 Where AI creates value and changes work
33:57 Customer relationships, services and workflow design
36:54 Domain expertise and the changing sales team
41:09 Vertical software, defensibility and scale
44:28 What investors should measure now
46:58 The future of VC and the role of operating partners
49:03 Octopus Ventures and closing thoughts
Track Record is produced by Tramlines. We are industrialising AI through domain expert led startups, mid-market acquisitions, and enterprise partnership. If you'd like to learn more about how we're transforming industries, get in touch.
Learn more at https://www.tramlines.com
Hosted on Acast. See acast.com/privacy for more information.
]]>In this episode of Track Record, Albert Azis-Clauson talks to Edward Keelan, a partner at Octopus Ventures, about the shift from traditional SaaS metrics to a world where pricing, retention and outcomes are still being worked out. They discuss why revenue and the speed of revenue growth matter earlier than many founders expect, why enterprise AI adoption is closer to workflow transformation than buying software off the shelf, and why customer relationships are becoming more consulting-like.
Ed also shares his experience of moving from Rolls-Royce and a startup into venture, and they discuss socio-economic access to capital, education, personal relationships and the risk of relationship-led investing reproducing existing networks.
The conversation ends with a shared challenge to early-stage VC: as technology becomes easier to build, domain expertise, customer knowledge and the ability to deliver in a specific vertical may become the more durable advantage.
Key Moments:
00:00 Introduction: Ed Keelan on AI and investment
02:29 From Rolls-Royce and startups to Octopus
05:24 Why entrepreneurs and small companies matter
09:39 AI outreach and the return of personal relationships
12:53 Socio-economic access, education and aspiration
20:29 How AI is changing growth-stage investing
23:54 Pricing, product-market fit and unsettled metrics
27:04 Enterprise adoption and transformation
30:16 Where AI creates value and changes work
33:57 Customer relationships, services and workflow design
36:54 Domain expertise and the changing sales team
41:09 Vertical software, defensibility and scale
44:28 What investors should measure now
46:58 The future of VC and the role of operating partners
49:03 Octopus Ventures and closing thoughts
Track Record is produced by Tramlines. We are industrialising AI through domain expert led startups, mid-market acquisitions, and enterprise partnership. If you'd like to learn more about how we're transforming industries, get in touch.
Learn more at https://www.tramlines.com
Hosted on Acast. See acast.com/privacy for more information.
]]>Erica explains how a personal project to map the people she met after moving to London led her into network science, and why relationships create value that compounds over time.
We examine how AI could change relationship management, why trust becomes more important as products become easier to build and online content harder to verify, and why traditional networking events do not work for everyone.
The conversation explores how to approach new relationships without making them transactional, how a case of a junior job offer led to a board seat, and how different network shapes support discovery, coordination, and resilience. Erica closes by explaining why she would invest £100m in social capital and why one relationship-building habit, sustained for 10 years, can have an extraordinary effect.
Key moments:
00:00 Introduction
01:25 From a personal project to network science
05:33 Why network value compounds
07:39 How VC incentives weaken collective networks
12:11 How AI can transform relationship management
15:49 Why relationships become more defensible with AI
18:25 Networking beyond extrovert-designed events
19:47 Why investment-or-nothing is too narrow
21:31 How a junior job opportunity led to a board seat
22:48 Explore versus exploit
27:43 The daisy and the ball of yarn
32:29 How to assess your network
34:34 How a chance Airbnb encounter changed Erica's career
39:38 Why the teenagers were the AI experts in the room
41:14 How to cultivate and maintain relationships
45:39 Why some work friendships disappear
48:42 Where Erica would invest £100m
50:03 One habit sustained for 10 years
Track Record is produced by Tramlines. We are industrialising AI through domain expert led startups, mid-market acquisitions, and enterprise partnership. If you'd like to learn more about how we're transforming industries, get in touch.
Learn more at https://www.tramlines.com
Hosted on Acast. See acast.com/privacy for more information.
]]>Erica explains how a personal project to map the people she met after moving to London led her into network science, and why relationships create value that compounds over time.
We examine how AI could change relationship management, why trust becomes more important as products become easier to build and online content harder to verify, and why traditional networking events do not work for everyone.
The conversation explores how to approach new relationships without making them transactional, how a case of a junior job offer led to a board seat, and how different network shapes support discovery, coordination, and resilience. Erica closes by explaining why she would invest £100m in social capital and why one relationship-building habit, sustained for 10 years, can have an extraordinary effect.
Key moments:
00:00 Introduction
01:25 From a personal project to network science
05:33 Why network value compounds
07:39 How VC incentives weaken collective networks
12:11 How AI can transform relationship management
15:49 Why relationships become more defensible with AI
18:25 Networking beyond extrovert-designed events
19:47 Why investment-or-nothing is too narrow
21:31 How a junior job opportunity led to a board seat
22:48 Explore versus exploit
27:43 The daisy and the ball of yarn
32:29 How to assess your network
34:34 How a chance Airbnb encounter changed Erica's career
39:38 Why the teenagers were the AI experts in the room
41:14 How to cultivate and maintain relationships
45:39 Why some work friendships disappear
48:42 Where Erica would invest £100m
50:03 One habit sustained for 10 years
Track Record is produced by Tramlines. We are industrialising AI through domain expert led startups, mid-market acquisitions, and enterprise partnership. If you'd like to learn more about how we're transforming industries, get in touch.
Learn more at https://www.tramlines.com
Hosted on Acast. See acast.com/privacy for more information.
]]>Glen explains why people are now the source code of technology.
As AI infrastructure, models, and tools become increasingly commoditised, he argues that the most durable advantage sits with domain experts and the tacit knowledge they have built over years inside an industry.
We trace Glen’s unconventional route into technology and his early experience at Amazon Web Services, before examining why Netflix’s transition from DVDs to streaming took eight years and what that teaches leaders about AI adoption.
The conversation explores how enterprises can apply venture-building methods to innovation, let 1,000 flowers bloom without losing control, and turn internal expertise into intellectual property that changes the value of the business.
Key moments:
00:00 Introduction
01:36 Glen’s unconventional route into technology
04:23 Discovering cloud and joining AWS
08:25 Why adaptability matters more than strength
09:29 Why Glen left Microsoft for Tramlines
13:19 Why Netflix beat Blockbuster
16:57 Peace, war, and wonder in technological change
18:44 How enterprises should balance delivery and innovation
19:49 How generative AI changes value creation
23:33 Scaling domain expertise inside enterprise
28:35 The transformation cliff and enterprise inertia
29:56 Applying venture-building methods inside enterprise
32:52 Why people are now the source code of technology
33:19 How to govern bottom-up innovation
35:27 How AI changes enterprise value
38:29 Why cost reduction is too narrow a goal
43:47 Where Glen would invest £100m
47:01 Next on Track Record
Track Record is produced by Tramlines. We are industrialising AI through domain expert led startups, mid-market acquisitions, and enterprise partnership. If you'd like to learn more about how we're transforming industries, get in touch.
Learn more at https://www.tramlines.com
Hosted on Acast. See acast.com/privacy for more information.
]]>Glen explains why people are now the source code of technology.
As AI infrastructure, models, and tools become increasingly commoditised, he argues that the most durable advantage sits with domain experts and the tacit knowledge they have built over years inside an industry.
We trace Glen’s unconventional route into technology and his early experience at Amazon Web Services, before examining why Netflix’s transition from DVDs to streaming took eight years and what that teaches leaders about AI adoption.
The conversation explores how enterprises can apply venture-building methods to innovation, let 1,000 flowers bloom without losing control, and turn internal expertise into intellectual property that changes the value of the business.
Key moments:
00:00 Introduction
01:36 Glen’s unconventional route into technology
04:23 Discovering cloud and joining AWS
08:25 Why adaptability matters more than strength
09:29 Why Glen left Microsoft for Tramlines
13:19 Why Netflix beat Blockbuster
16:57 Peace, war, and wonder in technological change
18:44 How enterprises should balance delivery and innovation
19:49 How generative AI changes value creation
23:33 Scaling domain expertise inside enterprise
28:35 The transformation cliff and enterprise inertia
29:56 Applying venture-building methods inside enterprise
32:52 Why people are now the source code of technology
33:19 How to govern bottom-up innovation
35:27 How AI changes enterprise value
38:29 Why cost reduction is too narrow a goal
43:47 Where Glen would invest £100m
47:01 Next on Track Record
Track Record is produced by Tramlines. We are industrialising AI through domain expert led startups, mid-market acquisitions, and enterprise partnership. If you'd like to learn more about how we're transforming industries, get in touch.
Learn more at https://www.tramlines.com
Hosted on Acast. See acast.com/privacy for more information.
]]>
Emily explains why every founder needs to develop five areas of their company: the product, customer, team, investor, and business model. As each develops at a different speed, founders should focus their attention on whichever is moving most slowly.
The conversation explores how AI could give service businesses software-like economics, and why Emily is looking at companies outside London.
Key Moments:
00:00 Introduction
01:42 The state of venture and innovation
04:44 Why global investors are backing UK companies
08:01 AI, deep tech, and commercialisation
11:14 The five areas every founder must develop
15:00 Founder factories and the value of experience
20:04 How venture economics are changing
27:02 How venture funds create returns
29:29 Choosing the right investors
32:24 Pensions, debt, and secondary liquidity
34:11 Where capital has yet to reach
37:06 How AI helps companies focus
38:31 Can service businesses achieve software economics?
42:58 Why early-stage investing comes down to people
44:22 Problem obsession and complementary founders
47:13 Equity, incentives, and employee liquidity
48:41 Why Emily would invest outside London
50:09 Next on Track Record
.
Track Record is produced by Tramlines. We are industrialising AI through domain expert led startups, mid-market acquisitions, and enterprise partnership. If you'd like to learn more about how we're transforming industries, get in touch.
Learn more at https://www.tramlines.com
Hosted on Acast. See acast.com/privacy for more information.
]]>
Emily explains why every founder needs to develop five areas of their company: the product, customer, team, investor, and business model. As each develops at a different speed, founders should focus their attention on whichever is moving most slowly.
The conversation explores how AI could give service businesses software-like economics, and why Emily is looking at companies outside London.
Key Moments:
00:00 Introduction
01:42 The state of venture and innovation
04:44 Why global investors are backing UK companies
08:01 AI, deep tech, and commercialisation
11:14 The five areas every founder must develop
15:00 Founder factories and the value of experience
20:04 How venture economics are changing
27:02 How venture funds create returns
29:29 Choosing the right investors
32:24 Pensions, debt, and secondary liquidity
34:11 Where capital has yet to reach
37:06 How AI helps companies focus
38:31 Can service businesses achieve software economics?
42:58 Why early-stage investing comes down to people
44:22 Problem obsession and complementary founders
47:13 Equity, incentives, and employee liquidity
48:41 Why Emily would invest outside London
50:09 Next on Track Record
.
Track Record is produced by Tramlines. We are industrialising AI through domain expert led startups, mid-market acquisitions, and enterprise partnership. If you'd like to learn more about how we're transforming industries, get in touch.
Learn more at https://www.tramlines.com
Hosted on Acast. See acast.com/privacy for more information.
]]>They discuss why Britain’s decline may be overstated, what prevents promising companies from reaching scale, and how AI is changing the relationship between talent, capital and value creation.
Lionel also reflects on the leadership lessons he learned at the Financial Times: setting a clear destination, adapting the business model, building closer customer relationships and knowing when to delegate.
Key Moments:
00:00 Introduction
01:18 The agony of the entrepreneur
04:03 Britain's AI Opportunity
09:33 The Barriers and challenges to innovation in the UK
11:42 Masayoshi Son: Game Maker
13:44 The golden age for entrepreneurs
15:37 How will government adapt to AI?
20:10 The Changing Value Equation in an AI Economy
21:08 What does leadership look like?
25:40 Trust, Authority and the Human Factor
27:53 Where would Lionel invest £100m?
30:55 Lionel's advice for Albert
32:43 Closing remarks
Track Record is produced by Tramlines. We are industrialising AI through domain expert led startups, mid-market acquisitions, and enterprise partnership. If you'd like to learn more about how we're transforming industries, get in touch.
Learn more at https://www.tramlines.com
Hosted on Acast. See acast.com/privacy for more information.
]]>They discuss why Britain’s decline may be overstated, what prevents promising companies from reaching scale, and how AI is changing the relationship between talent, capital and value creation.
Lionel also reflects on the leadership lessons he learned at the Financial Times: setting a clear destination, adapting the business model, building closer customer relationships and knowing when to delegate.
Key Moments:
00:00 Introduction
01:18 The agony of the entrepreneur
04:03 Britain's AI Opportunity
09:33 The Barriers and challenges to innovation in the UK
11:42 Masayoshi Son: Game Maker
13:44 The golden age for entrepreneurs
15:37 How will government adapt to AI?
20:10 The Changing Value Equation in an AI Economy
21:08 What does leadership look like?
25:40 Trust, Authority and the Human Factor
27:53 Where would Lionel invest £100m?
30:55 Lionel's advice for Albert
32:43 Closing remarks
Track Record is produced by Tramlines. We are industrialising AI through domain expert led startups, mid-market acquisitions, and enterprise partnership. If you'd like to learn more about how we're transforming industries, get in touch.
Learn more at https://www.tramlines.com
Hosted on Acast. See acast.com/privacy for more information.
]]>Each episode brings financial leaders, investors, founders, economists, and policymakers into conversation about what is changing now, and where money and opportunity are moving as a result.
Made for investors, founders, and business owners, it offers a practical view of the AI economy from the people doing the work.
Full episodes available from 19 August.
Track Record is produced by Tramlines. We are industrialising AI through domain expert led startups, mid-market acquisitions, and enterprise partnership. If you'd like to learn more about how we're transforming industries, get in touch.
Learn more at https://www.tramlines.com
Hosted on Acast. See acast.com/privacy for more information.
]]>Each episode brings financial leaders, investors, founders, economists, and policymakers into conversation about what is changing now, and where money and opportunity are moving as a result.
Made for investors, founders, and business owners, it offers a practical view of the AI economy from the people doing the work.
Full episodes available from 19 August.
Track Record is produced by Tramlines. We are industrialising AI through domain expert led startups, mid-market acquisitions, and enterprise partnership. If you'd like to learn more about how we're transforming industries, get in touch.
Learn more at https://www.tramlines.com
Hosted on Acast. See acast.com/privacy for more information.
]]>