Lace Labs

Lace Labs

AI for Africa’s Essential Supply Chains.

We design and deploy AI agents that forecast demand and move inventory to the right place at the right time.

Warehouse racking, Dar es Salaam

Built by a team from

  • Stanford Graduate School of Business
  • Thomas H. Lee Partners
  • Morgan Stanley
  • Meta
  • Adobe
  • Asana
  • USC Viterbi School of Engineering
  • Stanford University
  • University of Oxford
  • Stanford Graduate School of Business
  • Thomas H. Lee Partners
  • Morgan Stanley
  • Meta
  • Adobe
  • Asana
  • USC Viterbi School of Engineering
  • Stanford University
  • University of Oxford
  • Stanford Graduate School of Business
  • Thomas H. Lee Partners
  • Morgan Stanley
  • Meta
  • Adobe
  • Asana
  • USC Viterbi School of Engineering
  • Stanford University
  • University of Oxford

AI outcomes. Instantly measurable.

African leaders in AI transformation have the most to gain. But off-the-shelf AI vendors do not understand your systems or processes. We design AI systems alongside your team and our engineers embed inside your operations until it works.

Embed

Our engineers work on the ground. We learn how work actually gets done.

Build

We design AI agents around your real workflows, connected to the systems you already run.

Own

We deliver proven results with measurable outcomes that we own.

Pharmacy counter, Lagos

The Supply Chain Intelligence Loop

01

Observe

Lace ingests sales, inventory, supplier, ERP, spreadsheet, PDF, and email data across the customer’s operating network.

01

Observe

Lace ingests sales, inventory, supplier, ERP, spreadsheet, PDF, and email data across the customer’s operating network.

01

Observe

Lace ingests sales, inventory, supplier, ERP, spreadsheet, PDF, and email data across the customer’s operating network.

02

Map

We encode customer workflows, business rules, supplier constraints, lead times, and location-level operating realities.

02

Map

We encode customer workflows, business rules, supplier constraints, lead times, and location-level operating realities.

02

Map

We encode customer workflows, business rules, supplier constraints, lead times, and location-level operating realities.

03

Execute

Agents recommend what to buy, where to stock, when to transfer, and which supplier actions need follow-up.

03

Execute

Agents recommend what to buy, where to stock, when to transfer, and which supplier actions need follow-up.

03

Execute

Agents recommend what to buy, where to stock, when to transfer, and which supplier actions need follow-up.

04

Adapt

Forecasts improve as Lace learns from new demand signals, stock movements, local events, and operator feedback.

04

Adapt

Forecasts improve as Lace learns from new demand signals, stock movements, local events, and operator feedback.

04

Adapt

Forecasts improve as Lace learns from new demand signals, stock movements, local events, and operator feedback.

Our team delivers frontier AI engineering excellence for the continent we call home.

Lizzie Hunpatin

Lizzie Hunpatin

Chief Executive Officer

Supply chain automation private equity operator. MBA from Stanford Graduate School of Business. BA in Chemistry from the University of Chicago.

Lizzie Hunpatin

Lizzie Hunpatin

Chief Executive Officer

Supply chain automation private equity operator. MBA from Stanford Graduate School of Business. BA in Chemistry from the University of Chicago.

Seun Adekunle

Seun Adekunle

Chief Technology Officer

AI and machine learning engineer, computer vision researcher. MS in Artificial Intelligence from the University of Southern California School of Engineering. BS in Computer Science from the University of Kentucky.

Seun Adekunle

Seun Adekunle

Chief Technology Officer

AI and machine learning engineer, computer vision researcher. MS in Artificial Intelligence from the University of Southern California School of Engineering. BS in Computer Science from the University of Kentucky.

Folasade Ayoola

Folasade Ayoola

Chief Product Officer

Energy systems engineer, climate-tech founder, and patented product leader. PhD in Energy Science & Engineering from Stanford University. MBA from University of Oxford. BSc in Chemical Engineering from University of Lagos.

Folasade Ayoola

Folasade Ayoola

Chief Product Officer

Energy systems engineer, climate-tech founder, and patented product leader. PhD in Energy Science & Engineering from Stanford University. MBA from University of Oxford. BSc in Chemical Engineering from University of Lagos.

Backed by leading Silicon Valley investors.

Andy Rachleff

Andy Rachleff

Benchmark Capital and Wealthfront co-founder backing category-defining teams.

Andy Rachleff

Andy Rachleff

Benchmark Capital and Wealthfront co-founder backing category-defining teams.

Andy Dunn

Andy Dunn

Red Swan Capital and Bonobos co-founder investing in disruptive companies.

Andy Dunn

Andy Dunn

Red Swan Capital and Bonobos co-founder investing in disruptive companies.

43

43

Early-stage capital focused on ambitious software and AI companies.

43

43

Early-stage capital focused on ambitious software and AI companies.

January Ventures

January Ventures

A venture firm investing early in the next generation of transformational companies.

January Ventures

January Ventures

A venture firm investing early in the next generation of transformational companies.