TensorGo Case Study
Discover how TensorGo leveraged Civo's high-performance GPU infrastructure to run large-scale multimodal AI workloads with low latency, accelerate enterprise deployments, and scale its HumAIn platform without the complexity of traditional cloud providers.
TensorGo is building HumAIn, the world's first Pre-AGI digital teammates that can see, hear, reason, and autonomously execute enterprise workflows across hiring, sales, customer support, and operations. Founded in 2023, TensorGo has grown rapidly by collaborating with leading enterprises and technology partners to deliver scalable, production-ready AI platforms. Its team of AI researchers, engineers, and enterprise technology specialists is focused on helping organizations scale beyond human bandwidth.
What was the problem?
Before adopting Civo, TensorGo faced a familiar bottleneck for AI-native companies pushing serious inference workloads: the infrastructure wasn't keeping up with the ambition.
- Enterprise-grade GPU access was slow to provision and harder to scale, creating friction during customer pilots and live deployments
- Real-time inferencing for multimodal AI and computer vision models demanded consistently low latency, something traditional cloud providers struggled to deliver without significant operational overhead
- Infrastructure costs were difficult to predict and manage efficiently as customer demand grew
- Complex provisioning workflows pulled engineering focus away from building and shipping AI solutions
As a company whose entire product depends on high-performance, real-time AI execution, TensorGo needed a cloud platform that could match its pace, be powerful and fast to spin up, and be built for the realities of production AI.
TensorGo aimed to achieve three key objectives:
Immediate access to high-performance GPU infrastructure
TensorGo required NVIDIA H100 GPUs to support large-scale multimodal AI and computer vision inference without the long provisioning lead times common to hyperscalers.
Low-latency, reliable inference at scale
Real-time AI experiences, from enterprise automation to live customer-facing deployments, demanded infrastructure that could consistently deliver without performance degradation.
Cost-effective scalability
As customer demand scaled, TensorGo needed GPU infrastructure that could grow with them without unpredictable cost spikes or compromised performance.
High-performance GPU Cloud. Built for AI workloads that can't wait.
Unlock the full potential of your machine learning or AI projects with Civo's Cloud GPU solutions.
How did Civo help?
Civo's GPU Cloud gave TensorGo the infrastructure foundation to move fast, stay lean, and build with confidence, from early customer pilots through to production at scale.
Immediate access to NVIDIA H100 infrastructure
Using Civo's 8× NVIDIA H100 GPU instances, TensorGo was able to provision high-performance compute quickly and without friction, enabling rapid deployment of customer environments and removing a critical bottleneck from the engineering workflow.
Real-time inference at enterprise scale
Civo's GPU infrastructure provided the compute power and reliability required to run TensorGo's HumAIn platform and computer vision models with consistently low latency, supporting live customer demonstrations, enterprise pilots, and production workloads with equal reliability.
Scalable, cost-competitive infrastructure
Civo's competitive pricing model gave TensorGo a GPU solution that scaled with demand without eroding margins, delivering the right balance of performance and value for an AI platform with enterprise ambitions.
Civo enabled TensorGo to stop managing infrastructure and start shipping product. By removing provisioning complexity and delivering reliable, high-performance GPU compute, Civo allowed TensorGo's engineering team to focus entirely on developing and refining the HumAIn platform, accelerating customer deployments and improving time-to-value across the board. Srini Chilukuri, Founder & CEO, of TensorGo said, “The availability of high-performance NVIDIA H100 GPUs has enabled us to efficiently run demanding AI inference workloads with low latency. Provisioning resources has been straightforward, allowing us to deploy environments quickly for customer projects.”
The partnership has also proven its value beyond the platform itself. Civo's support team worked closely alongside TensorGo during critical AI infrastructure deployments, helping optimize workloads and ensure the right resources were in place at the right time. That kind of responsiveness translated directly into smoother operations and greater confidence for TensorGo's team.
“The team has been responsive, knowledgeable, and proactive whenever we've needed assistance. One standout aspect has been their willingness to work closely with us during our AI infrastructure deployments, ensuring we had the right GPU resources and guidance to optimize our workloads. Their responsiveness and customer-first approach have made it easy for our engineering team to focus on developing and deploying AI solutions with confidence.”
Srini Chilukuri
Founder & CEO
Looking ahead, TensorGo sees the partnership deepening as adoption of HumAIn accelerates. As the company expands into larger inference workloads, customer-specific AI environments, and the next generation of agentic and multimodal AI applications, Civo's GPU infrastructure is set to play a central role in powering that growth. Srini Chilukuri, Founder & CEO, of TensorGo spoke about this by saying, "we see Civo playing a key role by providing high-performance GPU infrastructure that enables us to accelerate innovation, rapidly deploy enterprise AI solutions, and scale our platform as customer demand grows."
Products and tools utilized
GPU Cloud
- Powers inference for the HumAIn platform using 8× NVIDIA H100 GPU instances, enabling real-time, low-latency AI experiences for enterprise customers
- Supports large multimodal AI and computer vision models across customer pilots, live demonstrations, and full production deployments
- Enables fast, straightforward provisioning of high-performance compute, reducing deployment friction and accelerating time-to-value for enterprise engagements
Compute
- Provides the scalable infrastructure backbone for deploying, testing, and iterating on AI applications across environments
- Supports efficient resource management as customer demand grows, keeping performance high and costs predictable
- Allows TensorGo's engineering team to focus on building AI solutions rather than managing underlying infrastructure
Civo India Region
- By utilizing Civo's India region, TensorGo is able to host their workloads locally, ensuring adherence to regional data regulations and requirements.
- Civo's local infrastructure enabled TensorGo to meet regional compliance requirements and improve their service quality through reduced latency and enhanced performance.
Download the full case study
Find out how TensorGo is scaling real-time enterprise AI, and how Civo's GPU infrastructure is powering every inference along the way.