Enginears

Gradial are building the AI-native platform for Marketing orgs. Their agents automate manual marketing operations to drive growth, visibility in AI search, and complete brand governance.

We discussed finding PMF in an early AI-era, building an end-to-end agentic platform and building great agents.

- Intro into Gradial and the mission.
- Intro into the marketing problem space and what you’re building / why?
- Uncovering the inception of Gradial and discussing the route to PMF. - Marketing has gone through a hugely transformational and widely discussed period - we were able to discuss this.
- Walk us through what a “platform for agent native marketing orgs” looks like.
- Building agents and great evals
- Designing agents to the shape of your work
- Empowering agents to make decisions autonomously.

Guest: https://www.linkedin.com/in/henry-h-67ab29132/

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Twitter: https://x.com/Enginearsio

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This week on Enginears we are joined Brian Fang and Shreyas who are the Founding Engineer and CTO/Co-founder respectively of Antimetal. Antimetal is the autonomous system for production. Their product is designed to continuously understand, operate and improve your environment.

·       Intro into Brian and Shreyas

·       Intro into Antimetal, the mission and the problem space generally.

·       Shreyas walks us through the product shift from cost optimisation -> bigger market and problems.

·       Brian and Shreyas set the scene on the product engineering landscape and how you’re approaching unlocking value for customers.     Two engineering challenges:

·       Brian and Shreyas walk us through Patrol and Triage

·       Walk us through where you’re building into in the next 12 months and why?

If you're keen to share your story, please reach out to us!

Guest: https://www.linkedin.com/in/shreyasiyer30/ and https://www.linkedin.com/in/briantfeng/

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Twitter: https://x.com/Enginearsio

All Podcast Platforms: https://smartlink.ausha.co/enginears

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Goodfire is an AI interpretability research lab focused on understanding and intentionally designing advanced AI systems. We had CTO and co-founder Dan Balsam come and join us to talk about what they're building, why and how.

• Introducing Goodfire
• Introducing the problem space they are in and the mission at hand.
• The engineering mentality that sparked Goodfire to life in late 2022.
• What is a research lab?
• Dan walks us through Silico and really breaks down for us the what, the why, the how.

• What is AI Safety + AI Alignment?
o An emphasis inside Goodfire is AI alignment via interprability; what does this mean and how are you building towards AI alignment?
o AI Safety is a pretty big umbrella; Dan breaks down why we need great engineers? Understanding how do great engineers step into AI safety research and be effective.

• Engineering challenges:
o Supporting model frontier level infrastructure
o long horizon agents; creating the right scaffolding and harnesses.

• Future bets being placed on Goodfire/AI generally Hiring

If you're keen to share your story, please reach out to us!

Guest: https://www.linkedin.com/in/dbalsam/

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Twitter: https://x.com/Enginearsio

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Welcome back to another Enginears podcast, this week I’m joined by Valliappa Lakshmanan, Co-founder and CTO of Obin AI. Obin AI provides an end-to-end platform to reimagine, build, and manage production-grade AI agents inside your own environment, scaling the capacity and judgment of your best people firm-wide, specifically in the Finance space.

- Intro into Valliappa and his background.

- Intro into Obin AI and the problem space

o “Finance requires repeatability. Obin AI looked at why agentic AI is working in coding and used it as inspiration to build themselves

o “Customers Outcomes” and what production looks like at scale

• What Obin AI are building for

• Who Obin AI are building for

o Walk us through the relationship between Finance <> Agents

• Challenges
• Building primitives
• Removing manual workflows
• Accuracy / Resiliency

o Walking us through some of the engineering challenges

o Walking us through “the future of finance <> AI/Agents” in your eyes

• Obin AI's hiring and growth

If you're keen to share your story, please reach out to us!

Guest: https://www.linkedin.com/in/valliappalakshmanan/

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Twitter: https://x.com/Enginearsio

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This week we are joined by Jon Sheller (Head of Engineering) and Brian Jadot (Staff Engineer) at Nuvo. Nuvo are building an AI-native and agentic trade operation underpinning onboarding, accounts recievable, credit and risk management and much more packed into this network.

• Intro into Brian and Jon's background.
• Intro into Nuvo and the problem space / mission.
• Key engineering challenges that underpin the network (Payments, AI, Product, Network)
• The incumbernt and what's being disrupted
• The network and why/how it's being built
• The agentic layer and some of the value unlocks and challenges
• Hardest challenges they're solving
• Engineering culture and business strength
• Hiring in SF/NYC.

If you're keen to share your story, please reach out to us!

Guest: https://www.linkedin.com/in/bryan-jadot-00063426/ + https://www.linkedin.com/in/jon-sheller/

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Twitter: https://x.com/Enginearsio

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This week I'm joined by Arnav Mishra, who is co-founder and CTO of DOSS. We are exploring the world where AI meets ERP and how DOSS are transforming the ERP landscape and the challenges that come with.

• Introduction into the problem space of ERP and the problems you’re solving.

• Historical ERP costs, consultancies and fragmentation and why the problem space is ripe for innovation.

• The way in which DOSS are re-building ERP from the ground up; There's a great SDLC analogy they stand by.

• Arnav helps us understand what “great” looks like for DOSS.

• Understanding some of the engineering challenges, particularly around data, the right data and scale at DOSS.

• How do engineers think in the abstract ways to build ANY business application.

• Building blocks, pattern matching, distribured systems, folder builders, UI/UX, agents, Distributed systems etc

• Arnav helps us understand what/if any challenges you’ve walked into with the rise of: AI

• Deploying custom built software / module based, low-code software

- From a technology/customer standpoint – where are you placing bets on the next 6-12 months?

- Hiring and growth at DOSS and why you should join?

If you're keen to share your story, please reach out to us!

Guest: https://www.linkedin.com/in/arnav-mishra/

DOSS Blog: https://www.doss.com/eng-blog

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This week I’m introducing Benny Chan, Co-founder and CTO at Fireworks AI. Building with Fireworks provides a platform for partners and developers to optimise for speed and scale, whatever their use case, whatever the model.

- Who are Fireworks and what are they building?

- The Fireworks platform, their use cases (agentic systems, conversational), pricing, partners and we walked through what they are building and why.

- OSS + AI Models; Why Fireworks are so passionate about model quality, it’s improvements and customer centricity.

- Where’s model speed, quality etc moving towards in the next 6 months?

- What are your bets for “AI” for the next 3-6 months? (Feel free to choose the path we can this down)

If you're keen to share your story, please reach out to us!

Guest: https://www.linkedin.com/in/benny-yufei-chen-2238575a/

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Twitter: https://x.com/Enginearsio

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Another Enginears podcast welcoming Austin Shepphard, Head of Engineering at Hypha, to talk about building AI-powered financial infrastructure, scaling modern data systems, and rethinking how companies operate with AI-native tooling. We’ll dig into engineering tradeoffs, product decisions, and what it takes to build reliable systems in an AI-first world.

• Intro into Hypha and the problem space they are tackling.

  • Hypha is an AI-native asset intelligence platform designed for the modern investor that transforms fragmented investment workflows into structured, actionable insights across the asset lifecycle,

• Core use cases and the evolvement of the space coupled with AI (discussing pivots and ICP's)

• Key engineering challenges in AI-native financial infrastructure

• Balancing speed vs reliability

• Agents + Tooling

• Engineering Culture

• Hiring

If you're keen to share your story, please reach out to us!

Guest: https://www.linkedin.com/in/austin-sheppard/

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Twitter: https://x.com/Enginearsio

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Ben joined us as CTO and Co-founder of Peregrine Technologies. Ben and Nick, fellow Co-founder spent years building data infrastructure for refugee populations and deploying technology in some of the world's most complex security environments. Peregrine was founded to build mission-critical data infrastructure for law enforcement, health, and human services — and we’re going to be exploring what happens when AI enters that world and why that's so critical now for public service organizations.

• Intro into Ben and his background

• Setting the scene for Peregrine, the problem space and the mission

• Introduction into an example technology use case and solution

• The enormity of the real-time data + hard to access challenge for public services

• In-step of Peregrine and the product they have built

• The impact of AI on public service organizations.

• The role a Forward Deployed / Deployment Strategiest plays and has always played.

If you're keen to share your story, please reach out to us!

Guest: https://www.linkedin.com/in/brudolph/

Careers: https://job-boards.greenhouse.io/peregrinetechnologies

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Twitter: https://x.com/Enginearsio

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This week I'm joined by John Larkin, Head of Engineering at Rebar. Rebar are driving AI and Computer Vision into Construction Software to help innovate and build faster with tighter collaboration. We unpacked the impact they are having in the construction industry, the enormity of the engineering challenge and some of how they are building.

• Intro into John and his background.

• Intro into the problem space of construction

• Introducing AI and CV into Construction

• Technical challenges they face at Rebar and why

• Types of problems they're solving and the people they are looking for to help them solve them.

If you're keen to share your story, please reach out to us!

Guest: https://www.linkedin.com/in/johnlarkin1/

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LinkedIn: https://www.linkedin.com/company/enginearsio

Twitter: https://x.com/Enginearsio

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