Avesha
Chelmsford, US · Founded 2020 · Delaware corporation · 27 employees on LinkedIn · 2 known investors
Avesha builds Elastic Grid Service (EGS), a platform that unifies compute, network, and storage to dynamically place and right-size AI workloads across clusters, clouds, and regions based on latency, cost, and availability. Its products—including Smart Scaler autoscaling, KubeSlice multi-cluster networking, and autonomous SRE/AgentOps agents—target enterprise cloud and platform teams running GPU-intensive AI training and inference on Kubernetes.
Also known as Avesha Systems
Founders & leadership
Avesha was founded in 2020 by Prabhu Navali.
Board
Investors · 2
Reported raises · per SEC filings
Form D private placements$20.6M disclosed across 2 rounds · 2020–2023
▶$15.2MraisedOct 2024 · 15 investors · Other TechnologyRule 506(b)
- Hassan AhmedDirector
- Raj NairExecutive Officer, Director
- Cheng Wu ChinDirector
- Offering amount
- $15.2M
- Amount sold
- $15.2M
- First sale
- Feb 2023
- Incorporated
- Corporation, Delaware, 2020
- Federal exemptions
- 06b
▶$5.5MraisedDec 2020 · 9 investors · Other TechnologyRule 506(b)
- Cheng Wu ChinDirector
- Raj NairExecutive Officer, Director
- Offering amount
- $6M
- Amount sold
- $5.5M
- First sale
- Dec 2020
- Incorporated
- Corporation, Delaware, 2020
- Federal exemptions
- 06b
Source: SEC EDGAR Form D. Amounts as filed; amended filings shown once at their latest values.
Company profile
researched Aug 2026Avesha develops software for managing Kubernetes-based application infrastructure across multi-cluster, hybrid, multi-cloud and edge environments. Its flagship offering, Elastic Grid Service (EGS), unifies compute, network and storage into a single fabric that places and right-sizes AI workloads according to latency, cost, capacity, availability and sovereignty targets, with the stated aim of GPU-agnostic portability across clusters, clouds and regions. The company positions EGS for distributed inference and training across edge, core, "AI factory" and cloud footprints, serving both enterprises and service providers.
The product portfolio listed by the company includes Avesha Enterprise for KubeSlice, KubeTally, KubeBurst, KubeAccess, Smart Scaler, Smart Event Scaler, Smart Karpenter, Elastic Grid Service (EGS) and Obliq. KubeSlice provides secure application networking that lets on-premises and cloud clusters communicate and allows tenant workload isolation and reuse of the same namespaces across environments; Smart Scaler provides AI-driven autoscaling and right-sizing of pods and nodes. Named use cases include model training with elastic GPU bursting, real-time inferencing, autonomous SRE agents, FinOps cost visibility, burst readiness, autoscaling/autosizing, developer and production environments, and a telco cloud continuum spanning device, edge, telco and cloud.
Avesha also promotes an "AgentOps" direction based on autonomous, slice-aware AI agents that bring real-time decision-making into Kubernetes operations, monitoring, diagnosing and remediating issues rather than surfacing dashboards.
Business model
Avesha sells enterprise software products for Kubernetes and AI/ML operations, with sales handled through direct contact (demo and pricing requests via sales contacts) and availability through marketplace registrations; it also maintains an open-source community presence, with KubeSlice accepted as a CNCF Sandbox project.
Traction
Publicly referenced customers and partners include InpharmD, Finvi, Cox Edge, Ensono, PhoenixNAP, G&L Systemhaus and The Score, plus a joint AI blueprint with SUSE and elastic GPU bursting with Nebius AI Cloud. KubeSlice has been accepted as a CNCF Sandbox project.
Latest developments
Recent announcements include a joint AI blueprint with SUSE combining EGS and SUSE AI for GPU orchestration and self-service provisioning, InpharmD's selection of Avesha and Nebius for elastic GPU bursting in a hybrid cloud setup, and published Smart Scaler benchmarking results on Run:ai infrastructure using NVIDIA H100 and B200 GPUs with LLaMA 3.1 models.
▸Full profile — market position, technology, go-to-market, geography, history
Market position
Avesha competes in Kubernetes AI infrastructure orchestration, benchmarking its autoscaling against Run:ai's KPA and Kubernetes-native HPA; it has been cited in Gartner Hype Cycle reports for Platform Engineering (2024) and Midsize Enterprises (2025) and was named to a "100 Edge Computing Companies to watch in 2024" list.
The company emphasizes unifying compute, network and storage in one control plane, GPU-agnostic portability across clusters, clouds and regions, slice-based secure connectivity and tenant isolation, and AI-driven predictive autoscaling that its published benchmarks report as outperforming platform-native autoscalers.
Technology
The platform layers on Kubernetes and combines multi-cluster networking (KubeSlice "slices" that connect and isolate workloads across data centers and clouds) with AI-based autoscaling and right-sizing (Smart Scaler, Smart Event Scaler, Smart Karpenter), cost allocation (KubeTally), bursting (KubeBurst), access control (KubeAccess) and the EGS control plane for GPU workload placement and routing. Company-published benchmarking on NVIDIA H100 and B200 GPUs with LLaMA 3.1 models compares Smart Scaler against Run:ai KPA and Kubernetes HPA.
Go-to-market
Direct enterprise sales supported by demos, technical deep dives, an ROI calculator and case studies, combined with partner and joint-solution motions (for example a joint AI blueprint with SUSE and GPU bursting with Nebius AI Cloud), analyst visibility (Gartner Hype Cycle references), and open-source community engagement through the Kubernetes Slack #kubeslice channel.
Enterprises and service providers running Kubernetes and GPU-intensive AI training and inference, including cloud engineering and platform teams; cited users and partners span healthcare/pharma research (InpharmD), financial technology operations (Finvi), edge cloud and hosting providers (Cox Edge, Ensono, PhoenixNAP, G&L Systemhaus) and media (The Score).
Geography
Headquarters at 285 Billerica Rd, Suite 107, Chelmsford, Massachusetts 01824, United States; customers and partners referenced include US edge and cloud providers and a Germany-based partner, G&L Systemhaus.
History
Avesha's founding team comprises Raj Nair (Founder & CEO), Prabhu Navali (Co-Founder, VP Product & Architecture), Bruce Lampert (SVP Business Development & Partnerships) and Olyvia Rakshit (VP of Product and Marketing). The executive team also includes Eric Peterson (VP of Engineering) and Dheeraj Ravula (VP, Head of Customer Success), with advisors including Prasad Dorbala, Rob Hickey, Bijit Ghosh, Shlomo Bielak and Abi Sachdeva. The company began with multi-cluster application networking and cost/performance management for Kubernetes and has extended into GPU and AI workload orchestration with EGS and autonomous operations agents.
Compiled by commissioned research from 5 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Competitors · 10
by search overlap
Companies competing with Avesha for the same Google search keywords, organic and paid, via search-intersection analysis.
Timeline · 5
launches, deals, and filingsJoint blueprint for enterprises combining Avesha's Elastic Grid Service with SUSE AI for GPU orchestration and self-service provisioning.
InpharmD adopted Avesha with Nebius AI Cloud to power AI workloads using elastic GPU bursting in a hybrid IT cloud environment.
Company announcement of Smart Scaler AI scaling delivering up to 3x performance gains.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
Legal entities · 1
corporate structureIn the news
▸Research sources · 5
primary sources listed
- Aveshaavesha.io · web
5 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Avesha do?
- Avesha builds Elastic Grid Service, a Kubernetes platform for placing and scaling AI/GPU workloads across clouds and edge.
- Who founded Avesha?
- Avesha was founded by Prabhu Navali in 2020.
- Who are Avesha's investors?
- Avesha's investors include Eastward Capital Partners, Taiwania Capital.
- How much funding has Avesha raised?
- Avesha has disclosed $20.6M raised across 2 rounds.
- Where is Avesha headquartered?
- Avesha is headquartered in Chelmsford, US.