Middleware
Middleware is an AI-native, OpenTelemetry-based cloud observability platform that unifies logs, metrics, traces, and RUM on one timeline, with its OpsAI SRE agent autonomously detecting and resolving production issues for SMB and mid-market technology, retail, finance, and gaming customers.
- Company typePrivate
- Founded2022
- HeadquartersSan Francisco, United States
- Headcount51–100
- GTM typeB2B
- OfferingSoftware
What Middleware does
Middleware is an AI-native, OpenTelemetry-based cloud observability platform that unifies logs, metrics, traces, Real User Monitoring, synthetic checks, browser testing, database monitoring, and LLM observability on a single timeline. The platform is built around a lightweight one-command agent that auto-instruments applications and Kubernetes environments without code changes, ingesting telemetry via OpenTelemetry and correlating signals by trace ID. Its flagship capability is OpsAI, an AI SRE agent that autonomously detects production issues, performs root cause analysis across APM/RUM/log/Kubernetes signals, reads source code through GitHub MCP, and opens pull requests with targeted code fixes; supporting capabilities include Query Genie (natural-language query translation) and AI-powered log pattern detection. The product suite also covers infrastructure, serverless, container, endpoint, and LLM-application monitoring, with 450+ integrations across AWS, Azure, GCP, Kubernetes, and major databases.
Middleware monetizes through a tiered model: a 14-day free trial with unlimited ingestion, a usage-based pay-as-you-go plan priced at $0.30/GB (with separate metering for RUM sessions, synthetic checks, browser runs, and OpsAI tokens), and custom-priced enterprise contracts with multi-year terms, dedicated account teams, BYOC deployment, and 24x7 support. The go-to-market is product-led growth anchored on self-serve signup at app.middleware.io, augmented by enterprise field sales, inside-sales conversion of pay-as-you-go accounts, and AWS Marketplace distribution launched October 2025. Community-led growth around a 4,200-engineer Slack community, KubeCon/DevOps event presence (including India), and SEO-driven competitor-migration landing pages reinforce top-of-funnel demand. The company is headquartered in San Francisco, was founded in 2022 (Y Combinator W23 batch), has 51-100 employees, and is privately held with approximately $7M in disclosed funding led by 8VC.
Middleware firmographics
Firmographics- Name
- Middleware
- Legal name
- Middleware
- Website
- https://middleware.io
- Company type
- Private
- Founded year
- 2022
- Operating status
- Operating
- Headcount range
- 51–100 employees
- Short description
- Middleware is an AI-native, OpenTelemetry-based cloud observability platform that unifies logs, metrics, traces, and RUM on one timeline, with its OpsAI SRE agent autonomously detecting and resolving production issues for SMB and mid-market technology, retail, finance, and gaming customers.
- Ownership category
- akta.pro rank
Middleware industry classification
Industry- Product category
- Cloud Observability Platform
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518210)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Observability, Monitoring & AIOps (BPAEAKAG)
- akta.pro secondary industry
- Service Reliability Engineering (SLO/SLI) & Reliability Analytics (HDABAJAL)
Keywords
Where Middleware is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Middleware business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Revenue model
- Usage-based Data Ingestion: Primary revenue stream based on volume of telemetry data ingested (logs, metrics, traces). Priced at $0.30 per GB. Customers pay only for what they use with no upfront commitment. Includes ingestion control and data pipeline capabilities.
- RUM Sessions: Revenue from Real User Monitoring sessions at $1 per 1,000 sessions. Tracks user interactions across web and mobile applications.
- Synthetic Monitoring: Revenue from synthetic API and browser tests at $1 per 5,000 checks. Proactive testing of API availability and performance from global locations.
- Browser Testing: Revenue from browser test runs at $10 per 1,000 runs. Cross-browser and device testing for web application quality assurance.
- OpsAI Token Consumption: Revenue from AI token consumption for root cause analysis and automated fixes. Error detection is free; RCA and auto-fix features are charged based on tokens used. Estimated pricing calculator available on website.
- Enterprise Contracts: Custom enterprise pricing with dedicated account team, multi-year contract discounts, custom data retention, bring-your-own-cloud options, and 24x7 premium support. Volume discounts available for larger deployments.
- Free Trial / Freemium: 14-day free trial with unlimited data ingestion, RUM sessions, synthetic checks, and 10 browser test runs. Serves as customer acquisition funnel for pay-as-you-go and enterprise conversions.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Pay-as-you-go | 14-day free trial with unlimited access to all features |
| Usage-based | Pay-as-you-go | Pay-per-use model starting at $0.30/GB |
| Subscription | Multi-year contract | Custom volume pricing for enterprise organizations |
Go-to-market motion3 records
Distribution channels4 records
Marketing channels8 records
Middleware product offering
Product offeringCore offering
Middleware provides a unified full-stack cloud observability platform that ingests logs, metrics, traces, and frontend session data, correlating them on a single timeline for infrastructure, application, and user experience monitoring. The platform's flagship offering is OpsAI, an AI-native SRE agent that automatically detects, diagnoses, and resolves production issues by generating code fixes via GitHub pull requests. The platform supports AWS, Azure, GCP, Kubernetes, and 450+ integrations with usage-based pricing and enterprise contracts.
Product overview
Middleware is a full-stack, unified observability platform that combines multiple monitoring capabilities into a single integrated solution. The core platform unifies APM (Application Performance Monitoring), Infrastructure Monitoring, Log Monitoring, Real User Monitoring (RUM), Synthetic Monitoring, Browser Testing, Database Monitoring, Container Monitoring, Serverless Monitoring, and LLM Observability on one timeline. The flagship AI capability is OpsAI, an AI-native SRE agent that automatically detects issues, performs root cause analysis, and generates code fixes via pull requests. Query Genie enables natural language queries across the platform. The platform supports petabyte-scale data ingestion with 450+ integrations across cloud providers (AWS, Azure, GCP), databases, and monitoring tools, built on OpenTelemetry standards with native support for Kubernetes, containers, and distributed tracing.
Differentiator
Problem solved
Functional benefit
Brands
- OpsAI: AI-powered SRE agent that automatically detects and fixes production issues by analyzing data from APM, RUM, and logs to pinpoint root causes and resolve issues.
Products and services
- OpsAI SRE Agent AI-powered Site Reliability Engineering agent that automatically detects, diagnoses, and resolves production issues across the full application stack by analyzing APM traces, RUM sessions, logs, and Kubernetes data. It generates code fixes and opens pull requests via GitHub MCP integration.
- Application Performance Monitoring (APM) Distributed tracing, real-time service health metrics, and end-to-end root-cause analysis with logs, traces, metrics, and frontend sessions correlated together on a single timeline.
- Infrastructure Monitoring Deep system visibility for hosts, containers, VMs, and cloud services with high-cardinality metrics, AI anomaly detection, and correlated incident context across any cloud environment.
- Log Monitoring Unified log monitoring with AI-powered search, log pattern detection, pipeline management, and correlation with APM traces and metrics for faster troubleshooting.
- Real User Monitoring (RUM) Frontend visibility for web and mobile apps capturing real user sessions, Core Web Vitals, and frontend errors, correlated with backend logs and traces for end-to-end troubleshooting.
- Synthetic Monitoring Proactive monitoring that simulates real user flows across APIs, browsers, and mobile to detect issues before customers are impacted, supporting HTTP, SSL, DNS, TCP, WebSocket, UDP, ICMP, and gRPC protocols.
- Browser Testing Cross-browser and device testing with session replays, Core Web Vitals tracking, step screenshots, and error insights to detect and fix frontend issues before users are affected.
- LLM Observability Full visibility into LLM-powered applications, tracking latency, token usage, costs, response quality, and model performance across providers, correlating LLM interactions with backend traces and infrastructure metrics.
Quantifiable outcome
- Reduced debugging and issue resolution time by nearly 90%
- +11 more outcomes
Companies that use Middleware
Customer profileNamed customers13 records
Segments4 records
Ideal customer profiles5 records
Middleware technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration33 records
AI capability9 records
Feature7 records
Middleware partnerships and signals
Strategic signalPartnerships
Seven partnerships are on record, tiered core.
- GitHubcoreGitHub MCP (Model Context Protocol) integration enables OpsAI to access source code for automated root cause analysis and pull request generation. OpsAI connects securely via GitHub MCP, reading only files related to specific errors without scanning entire codebases.
- DatadogcoreOpsAI can ingest alerts from Datadog, running investigations using Datadog metrics, logs, and traces without requiring migration from Datadog. This enables customers to enhance existing Datadog deployments with AI-powered RCA capabilities.
- GrafanacoreOpsAI can ingest alerts from Grafana, running investigations using Grafana metrics and logs within Middleware. Allows Grafana users to add AI-powered incident resolution without replacing their existing monitoring stack.
- KubernetescoreDeep integration with Kubernetes for container and cluster monitoring. Supports all major Kubernetes distributions including self-managed, EKS, AKS, GKE, and Red Hat OpenShift. Auto-discovery of services and workloads as Kubernetes orchestrates them.
- Amazon Web Services (AWS)coreComprehensive AWS monitoring covering 90+ AWS services including EC2, S3, RDS, ECS, Lambda, and more. Integration via CloudFormation script or Kinesis stream. Supports AWS Marketplace distribution. Middleware available on AWS Marketplace since October 2025.
- Microsoft AzurecoreAzure monitoring for 40+ Azure services including VMs, Load Balancers, Container Service, and Blob Storage. Integration via App Registration with 'Monitoring Reader' permission. Supports Azure Autoscale for dynamic resource adjustment.
- Google Cloud Platform (GCP)coreGCP monitoring for 36+ services including Compute Engine, Cloud Storage, and Google Cloud APIs. Integration via service account impersonation with IAM roles for automated metric discovery across multiple GCP projects.
Scale indicators15 records
Recent moves6 records
Expansion highlights6 records
Middleware competitors and assessment
Company assessmentDirect peers
- Datadog: Datadog is the market-leading cloud observability platform offering APM, logs, infrastructure monitoring, RUM, and AI-driven analytics (Watchdog). It is the primary competitor Middleware positions against in its marketing ("Datadog alternative") and the benchmark for cost disruption claims.
- New Relic: New Relic provides unified observability across APM, infrastructure, logs, and browser monitoring with New Relic AI for RCA. It is a direct head-to-head competitor and explicitly named in Middleware's comparison/migration landing pages.
- Dynatrace: Dynatrace offers AI-driven full-stack observability with its Davis AI engine for automated RCA. It is a primary enterprise observability competitor and a named alternative in Middleware's marketing materials.
- Grafana Labs: Grafana Labs provides the open-source Grafana dashboards, Loki (logs), Mimir (metrics), and Tempo (tracing) — collectively a leading open observability stack. Middleware explicitly positions against Grafana and integrates with it (OpsAI ingests Grafana alerts), making it both a partner and a competitor.
- Sumo Logic: Sumo Logic provides logs, metrics, traces, and APM in a SaaS observability platform. It competes directly with Middleware on log management, infrastructure monitoring, and APM, and shares a similar mid-market and enterprise target customer.
Broad incumbents
- Splunk (Cisco): Splunk, now part of Cisco, is a broad incumbent in log analytics, observability, and security monitoring via Splunk Observability Cloud. It is a large, established player with overlapping capabilities in log management and APM but a heavier enterprise focus and pricing model.
- Elastic (ELK Stack): Elastic offers the ELK stack (Elasticsearch, Logstash, Kibana) for logs and metrics and Elastic APM for distributed tracing. It is a broad incumbent in log analytics that Middleware competes against, especially in DevOps and search-driven observability use cases.
- AWS CloudWatch: AWS CloudWatch is the hyperscaler's native observability service for metrics, logs, traces, and alarms across AWS resources. It is bundled into AWS spend and represents the lowest-cost incumbent that Middleware must displace to win infrastructure monitoring workloads.
Emerging players
- Honeycomb.io: Honeycomb provides observability with structured events, distributed tracing, and BubbleUp for anomaly investigation — a direct APM competitor targeting engineering teams that prioritize debugging velocity, with a comparable engineering-focused GTM motion.
- Chronosphere: Chronosphere offers cloud-native observability with metric control plane and cost-control capabilities (Control Plane), directly competing with Middleware's positioning of cost efficiency and high-cardinality metrics at scale.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Middleware social profiles
Digital presenceMiddleware compliance and trust
Trust signalCompliance4 records
Middleware financial estimates
Financial estimateRevenue estimate
Valuation estimate
Middleware leadership team
Management profileNumber of profiles
Profiles2 records
Middleware funding detail
Funding detailFunding overview
Funding rounds2 records
Investors9 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Middleware M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Middleware
What does Middleware do?
Middleware provides a unified full-stack cloud observability platform that ingests logs, metrics, traces, and frontend session data, correlating them on a single timeline for infrastructure, application, and user experience monitoring. The platform's flagship offering is OpsAI, an AI-native SRE agent that automatically detects, diagnoses, and resolves production issues by generating code fixes via GitHub pull requests. The platform supports AWS, Azure, GCP, Kubernetes, and 450+ integrations with usage-based pricing and enterprise contracts.
Is Middleware a public or private company?
Middleware is a private company. It is classified as venture growth investor backed and is currently operating.
When was Middleware founded?
Middleware was founded in 2022. It employs 51 to 100 people.
Where is Middleware based?
Middleware is headquartered in San Francisco, United States, in the North America region.
How does Middleware make money?
Seven revenue lines are on record. Usage-based Data Ingestion is the primary driver. The others are RUM Sessions, synthetic Monitoring, browser Testing, opsAI Token Consumption, enterprise Contracts and free Trial / Freemium.
Who are Middleware's main competitors?
Direct peers on record are Datadog, New Relic, Dynatrace, Grafana Labs and Sumo Logic. Broad incumbents are Splunk (Cisco), Elastic (ELK Stack) and AWS CloudWatch. Emerging players are Honeycomb.io and Chronosphere.
Does Middleware have an API?
Yes. Middleware provides APIs for data ingestion and public API access. Supports OpenTelemetry protocol for metrics, logs, and traces ingestion. The platform offers API polling integration for cloud services and OpenAPI specification support for endpoint monitoring. APIs include opentelemetry-metrics for APM, public API documentation available at docs.middleware.io/public-api/api. Developer documentation is at docs.middleware.io.
What industry is Middleware in?
Middleware's product category is Cloud Observability Platform. Its primary akta.pro industry code is BPAEAKAG, Observability, Monitoring & AIOps, with a secondary code of HDABAJAL, Service Reliability Engineering (SLO/SLI) & Reliability Analytics. Its NAICS code is 518 and its SIC code is 7372.