/ About

Devblock is an AI consultancy + agency built by veterans of Saatchi & Saatchi, PwC, Deloitte, Razorfish, Microsoft, and Kirkland Ellis — a team that treats your goals like our own, helping you turn AI confusion into production-ready solutions that move your business forward.

Devblock is an AI consultancy + agency built by veterans of Saatchi & Saatchi, PwC, Deloitte, Razorfish, Microsoft, and Kirkland Ellis — a team that treats your goals like our own, helping you turn AI confusion into production-ready solutions that move your business forward.

Devblock is an AI consultancy + agency built by veterans of Saatchi & Saatchi, PwC, Deloitte, Razorfish, Microsoft, and Kirkland Ellis — a team that treats your goals like our own, helping you turn AI confusion into production-ready solutions that move your business forward.

/ Team

We are a global family of 100+ thinkers and builders. Spread across 3 continents, world wide coverage, speaking 11 languages and proudly representing 12 nationalities.

Benjamin Liu​​

Partner, CEO

Carl Swart

Partner, COO

James Sun​

Partner

Greg Harrison

CTO

Dung Lim​

Head of HR

Jim Gao

Managing Director of AI

Yee Fung

Engineering Lead

Sven Larson

Director, Program Management

Joe Fulginiti​

Head of Design

Fatima Dominguez

AI Product Manager

Saul Guardado

Engineering Lead

Lauren Maynard-Buck

AI Product Manager

Many clients come to us after investing significant time and budget with another vendor, only to end up without anything production-ready. We step in to assess the work, perform code review, and help move the product into a usable, launch-ready state.

Carl Swart

Partner, COO

Many clients come to us after investing significant time and budget with another vendor, only to end up without anything production-ready. We step in to assess the work, perform code review, and help move the product into a usable, launch-ready state.

Carl Swart

Partner, COO

Many clients come to us after investing significant time and budget with another vendor, only to end up without anything production-ready. We step in to assess the work, perform code review, and help move the product into a usable, launch-ready state.

Carl Swart

Partner, COO

/ Recognitions & partnerships

Since 2018, we’ve been fortunate to receive several awards. For us, these honors represent more than just trophies; they remind us that dedication, attention to detail truly matter.

Technology Industry-recognized awards. Proof that flawless execution still wins.

Inc. 5000 – AI & Software Technologies

2024

Great Place To Work

2023 - 24

Vietnam Best IT Companies

2024, 2026

Microsoft

2024 - Present

AWS Partner

2020 - Present

Adobe Technology Partner

2024 - Present

Google

2024 - Present

Anthropic

2026

/ FAQs

Everything you need to know about how we work. From our process to what makes working with us different.

What does “The AI last mile” mean?

The “AI Last Mile” is where most AI initiatives fail—not because the models don’t work, but because they aren’t integrated into real business workflows. Devblock focuses on taking AI from concept to production by embedding it into systems, processes, and user experiences that deliver measurable outcomes.

What sets Devblock apart from other AI and software firms?

Most firms either:

  • Build software without AI, or

  • Experiment with AI without production readiness

Devblock bridges that gap. We combine engineering discipline, AI capability, and operational execution to deliver solutions that actually work in production—not just prototypes or demos.

Do you build custom AI solutions or use existing tools?

Both. We evaluate the problem first, then determine the right approach:

  • Leverage existing AI platforms where appropriate

  • Build custom solutions when needed for scale, control, or differentiation

Our focus is not on the tool—it’s on delivering the outcome efficiently and sustainably.

Can you work with our existing systems and data?

Yes. Most of our work involves integrating with existing environments—CRMs, internal tools, data systems, and legacy platforms. We prioritize compatibility and minimal disruption while modernizing capabilities.

What industries do you specialize in?

We primarily work with organizations undergoing transformation, including:

  • Private Equity-backed companies

  • Mid-market enterprises

  • Technology-enabled businesses

Our approach is industry-agnostic but focused on operational impact and scalability.

How do you ensure AI solutions are secure and compliant?

We follow enterprise-grade practices including:

  • Data governance and access controls

  • Secure API and infrastructure design

  • Compliance alignment based on client requirements

AI is integrated responsibly, with safeguards around data privacy and system integrity.

How long does it take to implement an AI solution?

Timelines vary based on scope, but most engagements follow a phased approach:

  • Initial assessment and design

  • Rapid implementation of a working solution

  • Iteration and scaling

We prioritize speed to value, often delivering usable outcomes in weeks—not months.

Do we need an in-house AI team to work with you?

No. We can operate as:

  • An extension of your team, or

  • A fully managed delivery partner

We also help upskill internal teams when needed, ensuring long-term sustainability.

How do you price your services?

We offer flexible engagement models based on client needs:

  • Fixed-scope initiatives

  • Ongoing retainers

  • Transformation programs

Our focus is aligning cost with business value and measurable outcomes, not just hours worked.

What does a typical engagement look like?

Most engagements follow three stages:

  1. Assessment – Understand systems, workflows, and opportunities

  2. Implementation – Deliver a working solution quickly

  3. Optimization – Improve performance and scale impact

This ensures both speed and long-term success.

Can you help us if we’ve already started an AI initiative?

Absolutely. Many clients come to us after:

  • Pilot projects stall

  • Vendors underdeliver

  • Internal efforts don’t scale

We specialize in stabilizing, restructuring, and moving initiatives into production.

What does “The AI last mile” mean?

The “AI Last Mile” is where most AI initiatives fail—not because the models don’t work, but because they aren’t integrated into real business workflows. Devblock focuses on taking AI from concept to production by embedding it into systems, processes, and user experiences that deliver measurable outcomes.

What sets Devblock apart from other AI and software firms?

Most firms either:

  • Build software without AI, or

  • Experiment with AI without production readiness

Devblock bridges that gap. We combine engineering discipline, AI capability, and operational execution to deliver solutions that actually work in production—not just prototypes or demos.

Do you build custom AI solutions or use existing tools?

Both. We evaluate the problem first, then determine the right approach:

  • Leverage existing AI platforms where appropriate

  • Build custom solutions when needed for scale, control, or differentiation

Our focus is not on the tool—it’s on delivering the outcome efficiently and sustainably.

Can you work with our existing systems and data?

Yes. Most of our work involves integrating with existing environments—CRMs, internal tools, data systems, and legacy platforms. We prioritize compatibility and minimal disruption while modernizing capabilities.

What industries do you specialize in?

We primarily work with organizations undergoing transformation, including:

  • Private Equity-backed companies

  • Mid-market enterprises

  • Technology-enabled businesses

Our approach is industry-agnostic but focused on operational impact and scalability.

How do you ensure AI solutions are secure and compliant?

We follow enterprise-grade practices including:

  • Data governance and access controls

  • Secure API and infrastructure design

  • Compliance alignment based on client requirements

AI is integrated responsibly, with safeguards around data privacy and system integrity.

How long does it take to implement an AI solution?

Timelines vary based on scope, but most engagements follow a phased approach:

  • Initial assessment and design

  • Rapid implementation of a working solution

  • Iteration and scaling

We prioritize speed to value, often delivering usable outcomes in weeks—not months.

Do we need an in-house AI team to work with you?

No. We can operate as:

  • An extension of your team, or

  • A fully managed delivery partner

We also help upskill internal teams when needed, ensuring long-term sustainability.

How do you price your services?

We offer flexible engagement models based on client needs:

  • Fixed-scope initiatives

  • Ongoing retainers

  • Transformation programs

Our focus is aligning cost with business value and measurable outcomes, not just hours worked.

What does a typical engagement look like?

Most engagements follow three stages:

  1. Assessment – Understand systems, workflows, and opportunities

  2. Implementation – Deliver a working solution quickly

  3. Optimization – Improve performance and scale impact

This ensures both speed and long-term success.

Can you help us if we’ve already started an AI initiative?

Absolutely. Many clients come to us after:

  • Pilot projects stall

  • Vendors underdeliver

  • Internal efforts don’t scale

We specialize in stabilizing, restructuring, and moving initiatives into production.