Zesty
Procurement partnerAbout
Zesty is an autonomous Kubernetes optimization platform that continuously optimizes compute, GPU, and storage resources to match real-time workload demand. The platform uses advanced automation and predictive models to reduce cloud infrastructure costs, eliminate resource waste, and free engineering teams from manual resource management. Zesty manages over 1,000 Kubernetes environments and $5 billion in AWS spend across more than 3,000 AWS accounts.
Details
Website
zesty.coOfferings
8 active
VenSearch Intelligence
Ideal Customer
- Zesty's stated target is mid-market to enterprise companies with substantial Kubernetes deployments and meaningful AWS or Azure infrastructure spend, as specifically described in its MarketsandMarkets recognition as a FinOps company serving 'mid-size companies and enterprises.' Ideal customers have dedicated DevOps or FinOps teams managing multi-account cloud environments, where cloud infrastructure is a material operating expense.
- Named customers include fast-growing SaaS companies and cybersecurity firms such as Gong, Monday.com, Wiz, Palo Alto Networks, and Armis, suggesting a sweet spot of high-growth tech companies where cloud costs scale rapidly with the business.
Key Differentiators
- Zesty positions itself as an execution-first, fully automated cloud optimization platform rather than a recommendation-only or visibility-only tool — its core claim is that it takes autonomous action in real time rather than surfacing suggestions for humans to act on.
- Key technical differentiators include its HiberScale technology (acquired via Qubex) for 30-second node reactivation, NVIDIA CUDA-native fractional GPU optimization requiring no code changes, and a success-based pricing model for commitment management that charges only a percentage of verified savings.
Industries Served
- Zesty serves a broad cross-section of technology-intensive industries, with the heaviest concentration in cybersecurity (e.g., Armis, Palo Alto Networks), SaaS platforms (e.g., WalkMe, Monday.com, Gong), advertising and marketing technology (e.g., MIQ), and e-commerce (e.g., Yotpo, Zoopla).
- Additional documented customers include companies in data analytics, cloud-native infrastructure, and developer tooling.
Service Coverage
- Zesty operates globally as a SaaS platform, with its primary headquarters located at 20 Lincoln Street, Tel Aviv, Israel, and a U.S. commercial presence listed in San Mateo, California.
- Its products are delivered entirely via the cloud and serve customers worldwide, with revenue generation primarily concentrated in North America and Europe.
Partnerships
- Zesty holds AWS Advanced Technology Partner status within the Amazon Partner Network (APN), which is a prominent and formally vetted partnership tier that grants access to AWS marketing support, resources, and co-selling opportunities.
- The platform integrates natively with AWS services including EC2, EBS, S3, RDS, Aurora, DynamoDB, ElastiCache, and OpenSearch, as well as Azure services via Azure Cost Management Exports.
Company Size & Ownership
- Zesty was founded in 2019 by co-founders Maxim Melamedov (CEO) and Alexey Baikov (CTO), both Israeli tech veterans.
- The company currently employs approximately 125–143 people, with most staff based in Israel.
Compliance & Certifications
- Zesty holds SOC 2 Type II certification, verified through independent audits covering security, availability, and confidentiality of its systems.
- The company is also self-certified under the EU-U.S. Data Privacy Framework and its UK Extension, as recognized by the U.S. Department of Commerce, and invests in compliance with applicable global data protection laws.
Compiled from public sources by VenSearch · Last researched October 14, 2026
Offerings
8 offeringsAdaptive Pod Placement
Groups unevictable pods on the minimum number of nodes to reduce cluster fragmentation, free up node capacity, and enable node consolidation to lower compute costs. Works with Cluster Autoscaler, Karpenter, and other node autoscalers, and follows PodDisruptionBudgets to maintain application availability during pod eviction. Allows the same workloads to run on fewer nodes without impacting performance.
Automated Fractional GPUs
Automatically optimizes GPU memory allocation, compute share, and sharing mode in real time as AI workload demand changes to run more workloads on existing GPUs. Determines workload placement and density based on each workload's performance requirements using NVIDIA CUDA-native GPU fractioning, time-slicing, MPS, and Kubernetes schedulers such as KAI Scheduler. Requires no application code changes, model changes, or manual edits to Kubernetes manifests.
AWS Commitment Optimization
Automatically manages a dynamic portfolio of AWS micro Savings Plans and flexible Convertible Reserved Instances with staggered expiration dates that adjust daily to match actual usage, covering EC2, RDS, Aurora, DynamoDB, ElastiCache, OpenSearch, and other AWS services. Uses Cost and Usage Report data to forecast coverage gaps and make proactive purchase or expiration decisions without manual spreadsheet reviews. Pricing is purely success-based, with Zesty charging a percentage of verified savings.
Azure Commitment Optimization
Automatically manages a dynamic portfolio of Azure micro Savings Plans with staggered expiration dates that are purchased and expired daily to track actual usage, eliminating over-commitment and under-coverage. Uses Azure Cost Management Exports to forecast coverage gaps proactively and adjusts coverage automatically when resources are rightsized or scaling events change the baseline. Pricing is purely success-based, with Zesty charging a percentage of verified savings.
Compute Cost Visibility
Provides real-time visibility into Kubernetes workload usage, costs, and potential savings to enable data-driven optimization decisions. Identifies automation candidates by pinpointing workloads with the highest savings potential, and allows teams to monitor automation actions and outcomes in real time. Helps teams choose the right optimization strategy and understand its impact before rollout.
FastScaler
Accelerates application boot times by up to 5x to handle unpredictable traffic spikes in seconds rather than minutes, increasing the efficiency of Karpenter and Cluster Autoscaler. Creates a pool of hibernated nodes with pre-cached container images ready to absorb spikes at a fraction of the cost, eliminating image pull delays during scale-up events. Reduces the need for large pod buffers while keeping applications responsive under sudden load.
Multi-dimensional Autoscaling
Continuously adjusts CPU, memory, and replica counts together based on real workload demand to eliminate overprovisioning without constant manual tuning. Coordinates horizontal and vertical autoscaling to prevent conflicting scaling behavior, supports in-place pod resizing without restarts, and includes policy-driven guardrails for performance and cost goals. Delivers up to 50% lower compute costs with built-in performance protection.
PV Autoscaling
Automatically scales Kubernetes persistent volumes up or down in real time based on actual usage, including a downsizing capability to shrink overprovisioned storage and cut idle storage costs by up to 70%. Uses predictive algorithms that analyze historical and real-time usage to proactively adjust persistent volumes and prevent downtime during data surges. Provides actionable insights and real-time visibility into persistent volume utilization.
Considering Zesty?
Our team will work with you to determine if Zesty is the right fit for your organization. From research and assessment through procurement negotiation and ongoing vendor management — we handle the entire process at no cost to you.