TrueFoundry: Retrospectiva de 2025

If 2024 was ignition into orbit, 2025 was the year we caught a gravitational slingshot. In every great space mission, a slingshot depends on two things:
a powerful external gravity source, and enough internal thrust to actually reach it.

For us, the rapidly accelerating demand for AI Gateways became that gravitational force. Our Series A was the internal thrust — giving us the engineering depth and GTM readiness to reach escape velocity and enter the right orbit to harness it.

Here’s what the slingshot looked like:
Velocity enablement (Series A) → Reaching the inflection orbit (AI Gateway) → Gravity assist (Exploding demand) → Spaceship (TrueFoundry) accelerates forward.

While this may read like a single heroic maneuver powered by one bold spark, the reality of building a space mission is far more intricate. Slingshots don’t happen by luck — they are the result of thousands of precise calculations, relentless preparation, and countless course corrections. 2025 wasn’t magic; it was the coming together of engineering discipline, customer partnership, GTM conviction, and an extraordinary amount of persistence and learning. And that’s what we reflect on below — starting with where 2024 left us.

TrueFoundry and year 2024

In 2024, we partnered with multiple Fortune 500 enterprises and saw agentic applications begin to deliver real, measurable business value — often creating nine-figure impact. The potential for impact was no longer theoretical; it was undeniable. As we noted in our last year-end review, this also marked the beginning of our journey toward a world of “AI managed by AI,” with TrueFoundry becoming increasingly agentic by design.

But as we went deeper, two clear realities emerged:

• The agentic ecosystem was exploding, and building reliable, maintainable, and production-grade systems in such a fast-moving environment was becoming significantly more complex.
• Enterprises were under immense pressure to deliver outcomes, and many needed deeper expertise, stronger infrastructure foundations, and hands-on guidance to do so successfully.

These insights directly shaped our most important investments in 2025:

• AI Gateway — to centralize an increasingly fragmented ecosystem and help enterprises connect, observe, and govern agentic AI workloads across providers.
• AI Deploy — enables deployment of AI workloads such as model inference, LLM fine-tuning, MCP servers, and agents as standard Kubernetes applications on existing enterprise stacks through intuitive developer interfaces.
• Enterprise Outcomes — our forward-deployed engineering initiative, partnering closely with customers to translate AI capability into real, measurable business impact.

TrueFoundry and year 2025

2025 was a defining year for TrueFoundry. Net new revenue doubled — or more — quarter over quarter, and Fortune 500 enterprises across Payments, Semiconductors, Telecommunications, Security, Chip Manufacturing, Pharma, Healthcare, and Data infrastructure trusted TrueFoundry to power their most critical production-grade agentic applications. Let’s zoom into the defining themes of the year.

Theme 1: AI Gateway

Why this mattered in 2025
One of the most defining themes of 2025 was the rapid rise of the AI Gateway as a core piece of enterprise AI infrastructure. Over the last few months alone, we saw inherent demand for AI Gateways skyrocket. Today, roughly 10% of enterprises actively use a gateway, and over the next three years this is expected to grow to nearly 70%. What was once viewed as optional infrastructure quickly became foundational.

The assumption that broke
This shift happened because the industry — including us — underestimated the problem. Gateways were initially assumed to be thin, undifferentiated proxy layers that sat in the critical path of LLM requests and were best built in-house. Reality proved otherwise.

As enterprises moved from experimentation to production, the gateway surfaced as a deeply complex control plane — one that must handle constantly changing model APIs, centralized organizational controls, security policies, governance, observability, and reliability at scale.

We saw this shift firsthand as customers went from “we’ll never use an external gateway” to running their most critical production applications through ours within months.

Why the complexity kept expanding
At the same time, the scope of what needed to be governed expanded dramatically. LLM access alone was no longer sufficient. As MCP gained traction, enterprises struggled with authentication and authorization across a growing number of servers — naturally pulling this responsibility into the gateway. As agent-to-agent interactions (A2A) began to emerge, it became clear that agents themselves needed to be connected, observed, and governed through the same control plane. The logical evolution followed: LLM Gateway → MCP Gateway → Agent Gateway, culminating in what we now call the AI Gateway.

How we think about it today
Today, we think about this clearly and simply. TrueFoundry provides an enterprise-grade AI Gateway that encompasses an LLM Gateway, MCP Gateway, and Agent Gateway — enabling enterprises to connect, observe, and govern agentic AI workloads across providers from a single control plane. Our AI Gateway helps enterprises stay secure, efficient, and future-safe while building increasingly autonomous systems — whether deployed as SaaS, on-prem, or in air-gapped environments.

As the AI Gateway emerged as the control plane for governing agentic systems, another reality became clear. Connecting, observing, and governing AI was only one part of the equation. Enterprises also needed a reliable, enterprise-native way to run these systems in production — on infrastructure they already trusted. This naturally led to our second theme of 2025.

Theme 2: AI Deploy

Bringing agentic systems to the enterprise stack

As the agentic ecosystem exploded, enterprises needed a reliable execution layer to run this fast-moving, often chaotic ecosystem on familiar and trusted infrastructure. AI Deploy is that execution layer, enabling teams to deploy model inference, LLM fine-tuning, MCP servers, and agents as standard Kubernetes applications — directly on existing enterprise stacks.

• Runs on Kubernetes, where enterprise workloads already live
• Integrates seamlessly with existing observability, RBAC, and SSO systems
• Treats AI workloads like first-class production services, not experiments

Designed for a sovereign, hybrid, multi-cloud world
2025 also marked a strong shift toward Sovereign AI. Data residency, geopatriation, and cost-efficient AI workloads running on in-house data centers became increasingly important.

• On-prem and VPC-first deployments
• Hybrid and multi-cloud workloads as the default, not the exception
• Cost-optimal scaling on enterprise-owned infrastructure

AI Deploy made it possible to adopt cutting-edge agentic systems without abandoning enterprise constraints.

UI-native, code-first by design
Another pattern became clear: enterprises needed simplicity without loss of control.

• UI-native workflows for faster iteration and broader adoption
• Code-first flexibility for advanced customization and complex use cases
• Simple interfaces for business users, with full pro-code power for engineers

AI Deploy became the execution layer that allowed agentic systems to move from concept to production — cleanly, securely, and at scale.

Theme 3: Enterprise Outcomes

As the AI Gateway emerged as the control plane for enterprise AI, and AI Deploy enabled agentic workloads to run on existing enterprise stacks, one thing became clear: infrastructure alone is not enough. Enterprises weren’t just asking how to build agentic systems — they were under pressure to deliver real business outcomes, often under tight timelines and high regulatory scrutiny. As a result, we doubled down on our Enterprise Outcomes strategy.

From experiment to strategy
What started as an experiment in 2024 became a full-blown strategy in 2025. We built a dedicated leadership team to run Enterprise Outcomes as a business and expanded our team of GenAI researchers to work closely with customers on their most critical AI initiatives.

Desenvolvendo aplicações reais em conjunto
Por meio do Enterprise Outcomes, codesenvolvemos aplicações baseadas em agentes, prontas para produção e que estabelecem novos padrões na indústria, em saúde, semicondutores, serviços financeiros e telecomunicações — com foco não em demonstrações ou projetos-piloto, mas em impacto de negócio mensurável.

Um ciclo de crescimento composto com a plataforma
Também observamos um poderoso efeito volante se formar. À medida que mais casos de uso entravam em produção por meio do Enterprise Outcomes, a adoção da nossa plataforma de implantação se intensificava. E à medida que mais da plataforma era implantada, construir e escalar novos casos de uso tornava-se significativamente mais fácil. Cada um reforçava o outro, criando um ciclo de expansão composto que definiu como trabalhamos com empresas em 2025.

Até o final de 2025, AI Gateway, AI Deploy e Enterprise Outcomes haviam convergido para uma única pilha operacional — uma que conecta e governa sistemas Agentivos, os executa em escala empresarial e transforma capacidade inteligente em resultados no mundo real.

Atração do Mercado: Quando a Plataforma Começou a Se Vender Sozinha

Um dos sinais mais claros de que essa pilha estava ressoando veio do próprio mercado. Ao longo de 2025, começamos a ver uma forte atração de entrada por parte das empresas — tanto em volume quanto em urgência.

• A velocidade dos negócios melhorou significativamente, com múltiplos negócios empresariais sendo concluídos de ponta a ponta em dois meses
• Vários POCs passaram do início à produção em dias, não semanas
• Em alguns casos, os clientes avançaram sem um POC sequer, impulsionados pela clareza do valor e pela confiança na plataforma

Esse impulso se refletiu diretamente em nossos números: forte crescimento de receita trimestre a trimestre, ciclos de vendas mais rápidos e uma lista crescente de novas empresas clientes. O que antes demandava um grande esforço de educação tornou-se cada vez mais uma conversa sobre a rapidez com que os clientes poderiam entrar em produção.

Por trás desse impulso estava uma equipe que cresceu com propósito, senso de responsabilidade e crença.

A Equipe Por Trás do Impulso

Uma das coisas de que mais me orgulho na TrueFoundry é como a equipe, desde os primeiros dias, continuou a acreditar profundamente na missão e a crescer junto com a empresa. À medida que a equipe triplicou de tamanho em 2025 — abrangendo Vendas, Marketing, Resultados Empresariais e Engenharia — esse grupo inicial desempenhou um papel enorme na formação da cultura e no acolhimento de novos colegas. No meio do ano, tivemos a oportunidade de nos reunir para um retiro de equipe verdadeiramente especial nas Maldivas. Compartilho aqui alguns momentos desse evento.

2025 marcou o momento em que nossa visão, execução e atração de mercado se alinharam, transformando anos de preparação em um impulso contínuo para frente.

Olhando para o Futuro e Dando as Boas-Vindas a 2026

Ao olharmos para 2026, uma crença continua a guiar nossa direção: Sistemas de IA serão cada vez mais gerenciados por IA. Os humanos subirão na camada de abstração — de operar cada etapa de um sistema para definir intenção, restrições e resultados — enquanto sistemas inteligentes assumirão a execução.

Vemos duas mudanças estruturais moldando a próxima geração de software.

De capacitar desenvolvedores a capacitar todo trabalhador do conhecimento.
A última década do software foi sobre empoderar desenvolvedores — uma das personas mais poderosas da tecnologia — por meio de uma explosão de ferramentas de desenvolvimento e SaaS. Os próximos anos serão sobre empoderar todo trabalhador do conhecimento. A GenAI expandiu fundamentalmente o que o software pode fazer, dando origem a uma nova classe de sistemas que permitem às pessoas construir, raciocinar e operar fluxos de trabalho complexos sem a necessidade de serem programadores tradicionais.

De humano-no-ciclo para humano-fora-do-ciclo.
Estamos começando a passar de sistemas de IA que auxiliam humanos para sistemas que operam autonomamente. Neste mundo, os agentes não apenas respondem — eles planejam, constroem, implantam e executam fluxos de trabalho de ponta a ponta. O software será cada vez mais construído para agentes, com humanos definindo a direção e as salvaguardas em vez de fornecer intervenção contínua.

À medida que avançamos para 2026, nosso objetivo é capacitar todos — humanos e sistemas de IA — a construir, implantar e escalar sistemas inteligentes de forma fácil e otimizada através de interfaces de computação intuitivas projetadas tanto para pessoas quanto para máquinas.

Um brinde à construção de sistemas inteligentes que podem realmente se autogerenciar — e às equipes ousadas o suficiente para torná-los realidade. Somos profundamente gratos à nossa equipe, clientes e investidores pela confiança e apoio, e entramos em 2026 com clareza, convicção e otimismo.

O impulso de 2025 nos deu velocidade. 2026 é sobre direção — e distância. Feliz Ano Novo!

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