StackAI Powers Enterprise Customer Service & Support Agents with Groq
The StackAI difference
StackAI is a no-code platform that enables some of the world’s most security-conscious organizations, including banks, government agencies, global law firms, and healthcare providers, to design, deploy, and operate AI agents at scale. By securely connecting enterprise systems and internal data to large language models, StackAI makes AI immediately practical for real-world work.
The platform stands out in the enterprise AI market by focusing on three priorities that matter most to large organizations: compliance, ease of use, and comprehensive tooling. “StackAI is the leading provider for AI agent design and development,” says Bernard Aceituno, co-founder and CEO. “We support the full lifecycle, from idea to deployment, while providing a user interface that enterprises can actually use.”
At the core of StackAI is a drag-and-drop canvas that allows non-technical users, such as operations managers, IT teams, and compliance officers, to build AI agents without writing code, while giving technical teams the flexibility to design complex, multi-step workflows. Builders use StackAI to power applications ranging from document processing and data research to customer support and internal tools, all while meeting strict security and compliance requirements. As a result, StackAI has earned the trust of governments, banks, hospitals, and defense contractors, organizations where data protection is non-negotiable.
When latency became a scaling barrier
As StackAI’s customer base grew to include larger enterprises with ambitious AI implementation goals, performance became a practical constraint. Many customers were building agents to process large volumes of documents, generate structured outputs, and respond quickly enough to support real patients or clients. Latency and reliability were no longer abstract infrastructure concerns; they directly affected whether agents could be used at scale.
StackAI wanted to provide inference that was faster and more reliable than GPU-based alternatives they had been using. “We tried providers like Replicate and Hugging Face, and we even hosted models ourselves,” says Bernard, “but nothing delivered the combination of speed, stability, and flexibility we needed for our most demanding enterprise customers.”
That changed when StackAI discovered Groq.
Why Groq
StackAI's journey to Groq was driven by four critical factors their previous providers couldn't deliver simultaneously: State-of-the-art models, consistent stability, flexibility for structured outputs and tool use, and comprehensive API features.
These capabilities proved essential for StackAI's core use case: running AI agents in sensitive, regulated environments. “When you're processing classified defense documents, protected health information, or confidential financial records, you need an inference provider that can deliver compliance alongside performance,” Bernard said.
Karissa Ho, a member of StackAI’s Growth team, adds that, "The ability to request JSON output, use tools, and reliably run AI agents in the most sensitive environments—defense, banking, healthcare—is very important. GroqCloud gives us the flexibility to comply with strict requirements while still providing consistent service.”
The developer experience also played a role. StackAI’s platform enables customers to chain together knowledge bases, tools, and models into multi-step agent workflows. Predictable behavior and clear documentation were essential. “When we work with language models, we care about structured output and tool use,” Bernard added. “Groq provides a comprehensive, well-documented API that’s straightforward to work with in a production environment.”
Measurable performance gains at enterprise scale
Many builders using StackAI have moved workloads to Groq, including a call center compliance agent, customer support agent, and enterprise knowledge retrieval. With each product, StackAI saw immediate performance gains in latency-sensitive, document-heavy use cases. End-to-end response time improved compared to some frontier models, unlocking workflows that had previously been constrained by speed and reliability.
Use of Groq and StackAI goes beyond enterprise, these performance gains are also being realized in the public sector. For one U.S. defense contractor, StackAI deployed secure AI agents for acquisition and compliance workflows, enabling a 3x increase in the number of RFPs and allowing the organization to directly expand qualified pipeline. In another case, a legal document processing workflow built for a major law firm, previously requiring an hour to analyze complex medical records, now completes in just seven minutes, representing an over 88% improvement in throughput.
Other customers have seen similarly dramatic results. Tasks that once required two full days of manual review can now be completed in about one hour, with teams able to scan 20 cases in under 60 minutes.
For StackAI’s enterprise users, these gains go beyond raw performance. They remove barriers that once made sophisticated AI agent deployments impractical at scale. “We saw a drastic jump in performance and latency—everything became much faster,” says Bernard Aceituno. “For law firms, that time savings is transformative. At billable rates exceeding $100 per hour, automating document review from days to minutes delivers significant cost savings while allowing firms to take on more cases and serve clients faster.”
Where low-latency inference matters most
StackAI’s forward deployment engineers, who work closely with technical decision makers such as CIOs, VPs of IT, and CTOs, recommend Groq for several key scenarios:
- Fast document analysis and summarization: When legal teams or financial analysts need to review large volumes of documents, Groq’s speed enables rapid analysis and fact-finding across massive repositories.
- Customer-facing interactions: For applications that require immediate responses, such as patient portals in healthcare or customer support chatbots, Groq delivers the low latency needed to keep users engaged.
- Internal support systems: IT support chatbots and firm-wide technical tools that query official policies and documentation benefit from Groq’s combination of speed and accuracy.
“These workflows require extremely fast inference and very high reliability,” says Bernard. “Groq is the model we recommend when latency directly affects productivity.”
Partnership built on performance
The StackAI x Groq partnership exemplifies what happens when two companies share a vision for making AI both powerful and practical. By pairing StackAI’s end-to-end agent platform with Groq inference, enterprises can confidently deploy AI systems that are compliant, secure, and fast enough to transform real-world operations. For StackAI and their customers, Groq isn’t just an optimization, it’s what makes truly scalable, production-grade agentic automation possible.
Ready to see StackAI and Groq in action?
View StackAI’s model comparison demo to experience the latency difference:
Or start from one of their pre-built Groq templates to deploy AI agents faster: