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Digma

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uuid000233c

Namestring
Digma
Legal namestring
Digma Inc.
Websiteurl
digma.ai
Company typeenum
Private
Founded yearint
2022
Descriptiontext

Digma is a developer-focused observability company that sells a Continuous Feedback Platform built around its proprietary Dynamic Code Analysis (DCA) engine. The DCA engine processes raw OpenTelemetry data to identify code-level performance regressions, scalability bottlenecks, inefficient queries, and runtime errors in pre-production environments — positioning Digma as a shift-left complement to traditional APM tools that surface issues only after production impact. The platform is delivered primarily through an IntelliJ IDEA plugin that gives developers in-IDE feedback, with an optional central/on-premise deployment via Kubernetes for team and enterprise use. Two newer modules extend the core offering: the Digma MCP Server (2024), which exposes observability insights to AI coding agents via Model Context Protocol, and the Agentic AI SRE platform (launched June 2025), which autonomously performs root cause analysis and remediation via pull requests or config updates.

The company's business model is a hybrid of product-led growth and enterprise sales. Individual developers access a free-forever tier that runs locally without external data sharing, enabling bottom-up adoption without organizational approval. Paid revenue streams include a SaaS subscription for the analysis backend plus IDE plugin and paid plans for the MCP package (30-day free trial transitioning to monthly billing). Enterprise buyers are reached via direct sales with demo CTAs, kickoff meetings, and deployment assistance. Customer segments span individual software developers, engineering managers, and architects/team leads — with a horizontal segmentation approach targeting any Java/IntelliJ-centric engineering organization. Geographic footprint spans the United States (Delaware-incorporated, Santa Clara HQ), Israel, and the European Union. The company is venture-backed by a $6 million seed round closed in September 2023, led by at.inc/ and Sorenson Ventures with participation from four additional investors.

Digma's strategic positioning centers on three pillars: (1) proprietary DCA technology that operates on real runtime data without code changes, (2) local-first data processing that avoids public AI models for privacy-conscious enterprise buyers, and (3) integration with the emerging AI coding agent ecosystem via MCP. The company holds SOC 2 Type II certification, enabling enterprise procurement. Co-founders Nir Shafrir (CEO) and Roni Dover (CTO) lead a team of fewer than 10 employees, reflecting an early-stage operating profile despite product breadth across developer, SRE, and AI-agent personas.

Short descriptiontext

Digma is an observability company whose Dynamic Code Analysis engine and IntelliJ IDE plugin surface code-level performance issues in pre-production, serving Java-backend engineering teams via a PLG free tier plus paid enterprise subscriptions.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1–10
akta.pro rankint
HeadquartersSunnyvale, United States
HQ citystring
Sunnyvale
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
developer observability platform, continuous feedback tools, application performance monitoring, dynamic code analysis, site reliability engineering
Industry2 codes
1Performance Engineering & Scalability Testing
CodeBPAEAKAKPrimaryYes
2Platform Engineering & Internal Developer Platforms (IDP)
CodeBPAEAKACPrimaryNo
NAICS code2 codes
  • Software Publishers5132
  • Computer Systems Design and Related Services5415
SIC code1 code
  • Services-Prepackaged Software7372
Product category
Developer Observability
GTM motion3 records

Each record includes

Type, Description, Source

Revenue model4 records
1SaaS Subscription - Analysis Backend with IDE Plugin
TypeSubscription Recurring
Description

Software-as-a-Service subscription model comprising an analysis backend server and IDE plugin. Provided on a subscription basis for specified term, with automatic renewal by default unless canceled 30 days prior.

digma.ai
2Local Installation with Analysis Tool
TypeSubscription Recurring
Description

IDE plugin and analysis tool downloaded and installed locally on user's workstation, which analyzes observability sources and provides feedback during development.

digma.ai
3Free Tier
TypeFreemium
Description

Free forever tier for individual developers, allowing them to run Digma locally on their computer without sharing information externally. Enables continuous feedback loop regardless of company use.

digma.ai
4Pre-Released Services
TypeSubscription Recurring
Description

Alpha and beta versions of new features offered on an 'as-is' basis, governed by separate terms with no warranties.

digma.ai
Marketing channels6 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels4 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components4 values
Personnel, Technology or R&D, Marketing or Sales, Operations
Pricing details2 tiers
1Free Forever Tier - Individual Developer
ModelFreemiumBilling cadenceOthers
Notes

Free forever to individual developers. Can run locally on computer without sharing information externally. Allows developers to build continuous feedback loop regardless of company decisions to use Digma.

digma.ai
2MCP Package - 30-Day Free Trial
ModelSubscriptionBilling cadenceMonthly
Notes

30-day free trial for Digma MCP package. No credit card required to start. Includes MCP server, IDE plugins, reporting and dashboards, email notifications, and advanced performance analytics. After trial, transition to paid plan required.

digma.ai
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

Digma sells a developer observability platform built around a proprietary Dynamic Code Analysis (DCA) engine that processes OpenTelemetry data to detect code-level performance issues, scalability bottlenecks, and runtime errors in pre-production environments before they reach production. The platform is offered as a free tier for individual developers and as paid subscriptions for teams and enterprises, with optional add-on modules including an Agentic AI SRE for autonomous remediation and an MCP Server that connects AI coding assistants to runtime observability data.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 2 values shown
  • Cut resolution time by 85% through AI-powered root cause analysis and precise remediation via pull requests or config updates
+1 more record
Product overview1 text field

Digma offers a Continuous Feedback Platform with a modular architecture. The core product consists of an IDE Plugin that provides developers real-time code analysis directly in IntelliJ IDEA, powered by the proprietary Dynamic Code Analysis (DCA) Engine that processes OpenTelemetry data to identify issues before production. Two key add-on modules extend the platform: the Agentic AI SRE module provides autonomous issue identification and remediation for operations teams, while the MCP Server enables AI coding assistants to leverage Digma's observability insights during code reviews and development workflows. The platform runs locally on developer machines or can be deployed centrally in Kubernetes clusters.

Product and service4 records
1Digma Continuous Feedback Platform
CategoryDeveloper Observability
Description

A continuous feedback platform for developers that analyzes OpenTelemetry data to identify code-level performance issues, scalability bottlenecks, and runtime errors in pre-production environments, enabling teams to prevent issues before they reach production.

2Agentic AI SRE
CategoryAI SRE / Incident Remediation
Description

An autonomous AI-powered Site Reliability Engineering module that identifies, analyzes, and remediates code and infrastructure issues, connecting to observability stacks and data sources including PostgreSQL, GitHub, and Kubernetes to deliver precise fixes via pull requests or config updates.

3Digma MCP Server
CategoryDeveloper Tooling / AI Integration
Description

A Model Context Protocol server that enables AI coding assistants to access Digma's runtime observability data during code reviews, code generation, test generation, and fix suggestions, surfacing production-aware recommendations directly within pull requests.

4Digma IDE Plugin
CategoryIDE Plugin / Developer Tooling
Description

An IntelliJ IDEA plugin that delivers continuous feedback directly in the developer's IDE, analyzing OpenTelemetry traces to surface performance issues, bottlenecks, and code smells and enabling navigation between identified problems and the underlying source code.

Scale indicator2 records

Each record includes

Type, Value, Description, Source

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeBroad incumbent
Description

Established APM and observability suite with code-level analysis and AI-assisted troubleshooting. Overlaps with Digma on engineering personas and OpenTelemetry ingest, but is production-centric and operates at enterprise scale.

TypeBroad incumbent
Description

Open-source observability stack (LGTM: Loki, Grafana, Tempo, Mimir) with strong OpenTelemetry support. Competes with Digma on data ingestion standards and serves overlapping engineering buyers, though Grafana is broader and infrastructure-centric.

TypeDirect peer
Description

Observability platform purpose-built for engineers, focused on high-cardinality event data and fast debugging. Closest peer in developer-first philosophy and targeting engineering teams frustrated by traditional APM — directly competes for the same buyer and use case.

TypeEmerging player
Description

Code intelligence platform enabling cross-repo search, code review, and AI coding assistants (Cody/Amp). Comparable to Digma on the developer-tool surface and increasingly overlapping in code-review context for AI agents — both sell to engineering leaders.

TypeDirect peer
Description

Runtime debugging and observability tool that adds dynamic instrumentation to running applications. Closely comparable to Digma on shift-left/runtime-code-level analysis, with overlapping use cases around identifying performance issues during development.

TypeDirect peer
Description

Observability and security platform with cost-optimized log, metric, and APM pipelines. Targets engineering teams seeking modern alternatives to legacy APM — directly comparable buyer profile to Digma.

TypeBroad incumbent
Description

Enterprise observability platform with AI-driven root cause (Davis AI) and code-level performance analysis. Competes for the same engineering and SRE buyer as Digma, with broader full-stack coverage.

TypeDirect peer
Description

Developer-first application monitoring focused on error tracking and performance, with strong PLG adoption. Competes with Digma for the individual-developer-to-team workflow and is the canonical comparison for Digma's IDE-plugin + freemium motion.

TypeBroad incumbent
Description

Market-leading observability/APM platform serving engineering teams with metrics, traces, logs, and code-level insights. Direct overlap with Digma on observability data, but Datadog focuses on production environments and offers a much broader portfolio of products.

TypeDirect peer
Description

Live debugging and observability platform that lets engineers pull data from production without redeploying. Comparable to Digma's 'no code changes' value prop and overlap with the same engineering persona.

Market position
Strengths4 records

Each record includes

Headline, Details, Source

Weaknesses4 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks5 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers3 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment3 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile3 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

Integration5 records

Each record includes

Title, Type, Description, Source

AI capability7 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature6 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles2 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
Compliance1 record

Each record includes

Name, Class, Description

Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds1 record

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors6 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Digma

Developer Observabilitydigma.ai

Digma is an observability company whose Dynamic Code Analysis engine and IntelliJ IDE plugin surface code-level performance issues in pre-production, serving Java-backend engineering teams via a PLG free tier plus paid enterprise subscriptions.

What Digma does

Digma is a developer-focused observability company that sells a Continuous Feedback Platform built around its proprietary Dynamic Code Analysis (DCA) engine. The DCA engine processes raw OpenTelemetry data to identify code-level performance regressions, scalability bottlenecks, inefficient queries, and runtime errors in pre-production environments — positioning Digma as a shift-left complement to traditional APM tools that surface issues only after production impact. The platform is delivered primarily through an IntelliJ IDEA plugin that gives developers in-IDE feedback, with an optional central/on-premise deployment via Kubernetes for team and enterprise use. Two newer modules extend the core offering: the Digma MCP Server (2024), which exposes observability insights to AI coding agents via Model Context Protocol, and the Agentic AI SRE platform (launched June 2025), which autonomously performs root cause analysis and remediation via pull requests or config updates.

The company's business model is a hybrid of product-led growth and enterprise sales. Individual developers access a free-forever tier that runs locally without external data sharing, enabling bottom-up adoption without organizational approval. Paid revenue streams include a SaaS subscription for the analysis backend plus IDE plugin and paid plans for the MCP package (30-day free trial transitioning to monthly billing). Enterprise buyers are reached via direct sales with demo CTAs, kickoff meetings, and deployment assistance. Customer segments span individual software developers, engineering managers, and architects/team leads — with a horizontal segmentation approach targeting any Java/IntelliJ-centric engineering organization. Geographic footprint spans the United States (Delaware-incorporated, Santa Clara HQ), Israel, and the European Union. The company is venture-backed by a $6 million seed round closed in September 2023, led by at.inc/ and Sorenson Ventures with participation from four additional investors.

Digma's strategic positioning centers on three pillars: (1) proprietary DCA technology that operates on real runtime data without code changes, (2) local-first data processing that avoids public AI models for privacy-conscious enterprise buyers, and (3) integration with the emerging AI coding agent ecosystem via MCP. The company holds SOC 2 Type II certification, enabling enterprise procurement. Co-founders Nir Shafrir (CEO) and Roni Dover (CTO) lead a team of fewer than 10 employees, reflecting an early-stage operating profile despite product breadth across developer, SRE, and AI-agent personas.

Digma firmographics

Firmographics
Name
Digma
Legal name
Digma Inc.
Website
https://digma.ai
Company type
Private
Founded year
2022
Operating status
Operating
Headcount range
1–10 employees
Short description
Digma is an observability company whose Dynamic Code Analysis engine and IntelliJ IDE plugin surface code-level performance issues in pre-production, serving Java-backend engineering teams via a PLG free tier plus paid enterprise subscriptions.
Ownership category
akta.pro rank

Digma industry classification

Industry
Product category
Developer Observability
NAICS
Software Publishers (5132), Computer Systems Design and Related Services (5415)
SIC
Services-Prepackaged Software (7372)
akta.pro primary industry
Performance Engineering & Scalability Testing (BPAEAKAK)
akta.pro secondary industry
Platform Engineering & Internal Developer Platforms (IDP) (BPAEAKAC)

Keywords

  • Developer observability platform
  • Continuous feedback tools
  • Application performance monitoring
  • Dynamic code analysis
  • Site reliability engineering

Where Digma is headquartered

Location

Headquarters

HQ city
Sunnyvale
HQ country
United States
HQ region
North America

Offices1 record

Markets served

Digma business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Personnel, Technology or R&D, Marketing or Sales, Operations

Revenue model

  1. SaaS Subscription - Analysis Backend with IDE Plugin: Software-as-a-Service subscription model comprising an analysis backend server and IDE plugin. Provided on a subscription basis for specified term, with automatic renewal by default unless canceled 30 days prior.
  2. Local Installation with Analysis Tool: IDE plugin and analysis tool downloaded and installed locally on user's workstation, which analyzes observability sources and provides feedback during development.
  3. Free Tier: Free forever tier for individual developers, allowing them to run Digma locally on their computer without sharing information externally. Enables continuous feedback loop regardless of company use.
  4. Pre-Released Services: Alpha and beta versions of new features offered on an 'as-is' basis, governed by separate terms with no warranties.

Pricing tiers

ModelBillingPrice
FreemiumOthersFree Forever Tier - Individual Developer
SubscriptionMonthlyMCP Package - 30-Day Free Trial

Go-to-market motion3 records

Distribution channels4 records

Marketing channels6 records

Digma product offering

Product offering

Core offering

Digma sells a developer observability platform built around a proprietary Dynamic Code Analysis (DCA) engine that processes OpenTelemetry data to detect code-level performance issues, scalability bottlenecks, and runtime errors in pre-production environments before they reach production. The platform is offered as a free tier for individual developers and as paid subscriptions for teams and enterprises, with optional add-on modules including an Agentic AI SRE for autonomous remediation and an MCP Server that connects AI coding assistants to runtime observability data.

Product overview

Digma offers a Continuous Feedback Platform with a modular architecture. The core product consists of an IDE Plugin that provides developers real-time code analysis directly in IntelliJ IDEA, powered by the proprietary Dynamic Code Analysis (DCA) Engine that processes OpenTelemetry data to identify issues before production. Two key add-on modules extend the platform: the Agentic AI SRE module provides autonomous issue identification and remediation for operations teams, while the MCP Server enables AI coding assistants to leverage Digma's observability insights during code reviews and development workflows. The platform runs locally on developer machines or can be deployed centrally in Kubernetes clusters.

Differentiator

Problem solved

Functional benefit

Products and services

  • Digma Continuous Feedback Platform A continuous feedback platform for developers that analyzes OpenTelemetry data to identify code-level performance issues, scalability bottlenecks, and runtime errors in pre-production environments, enabling teams to prevent issues before they reach production.
  • Agentic AI SRE An autonomous AI-powered Site Reliability Engineering module that identifies, analyzes, and remediates code and infrastructure issues, connecting to observability stacks and data sources including PostgreSQL, GitHub, and Kubernetes to deliver precise fixes via pull requests or config updates.
  • Digma MCP Server A Model Context Protocol server that enables AI coding assistants to access Digma's runtime observability data during code reviews, code generation, test generation, and fix suggestions, surfacing production-aware recommendations directly within pull requests.
  • Digma IDE Plugin An IntelliJ IDEA plugin that delivers continuous feedback directly in the developer's IDE, analyzing OpenTelemetry traces to surface performance issues, bottlenecks, and code smells and enabling navigation between identified problems and the underlying source code.

Quantifiable outcome

  • Cut resolution time by 85% through AI-powered root cause analysis and precise remediation via pull requests or config updates
  • +1 more outcomes

Companies that use Digma

Customer profile

Named customers3 records

Segments3 records

Ideal customer profiles3 records

Digma technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

Integration5 records

AI capability7 records

Feature6 records

Digma partnerships and signals

Strategic signal

Scale indicators2 records

Recent moves6 records

Expansion highlights6 records

Digma competitors and assessment

Company assessment

Broad incumbents

  • New Relic: Established APM and observability suite with code-level analysis and AI-assisted troubleshooting. Overlaps with Digma on engineering personas and OpenTelemetry ingest, but is production-centric and operates at enterprise scale.
  • Grafana Labs: Open-source observability stack (LGTM: Loki, Grafana, Tempo, Mimir) with strong OpenTelemetry support. Competes with Digma on data ingestion standards and serves overlapping engineering buyers, though Grafana is broader and infrastructure-centric.
  • Dynatrace: Enterprise observability platform with AI-driven root cause (Davis AI) and code-level performance analysis. Competes for the same engineering and SRE buyer as Digma, with broader full-stack coverage.
  • Datadog: Market-leading observability/APM platform serving engineering teams with metrics, traces, logs, and code-level insights. Direct overlap with Digma on observability data, but Datadog focuses on production environments and offers a much broader portfolio of products.

Direct peers

  • Honeycomb: Observability platform purpose-built for engineers, focused on high-cardinality event data and fast debugging. Closest peer in developer-first philosophy and targeting engineering teams frustrated by traditional APM — directly competes for the same buyer and use case.
  • Lightrun: Runtime debugging and observability tool that adds dynamic instrumentation to running applications. Closely comparable to Digma on shift-left/runtime-code-level analysis, with overlapping use cases around identifying performance issues during development.
  • Coralogix: Observability and security platform with cost-optimized log, metric, and APM pipelines. Targets engineering teams seeking modern alternatives to legacy APM — directly comparable buyer profile to Digma.
  • Sentry: Developer-first application monitoring focused on error tracking and performance, with strong PLG adoption. Competes with Digma for the individual-developer-to-team workflow and is the canonical comparison for Digma's IDE-plugin + freemium motion.
  • Rookout: Live debugging and observability platform that lets engineers pull data from production without redeploying. Comparable to Digma's 'no code changes' value prop and overlap with the same engineering persona.

Emerging players

  • Sourcegraph: Code intelligence platform enabling cross-repo search, code review, and AI coding assistants (Cody/Amp). Comparable to Digma on the developer-tool surface and increasingly overlapping in code-review context for AI agents — both sell to engineering leaders.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat5 records

Key risks5 records

Key highlights6 records

Customer concentration

Digma social profiles

Digital presence

Digma compliance and trust

Trust signal

Compliance1 record

Digma financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Digma leadership team

Management profile

Number of profiles

Profiles2 records

Digma funding detail

Funding detail

Funding overview

Funding rounds1 record

Investors6 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Digma M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Digma

What does Digma do?

Digma sells a developer observability platform built around a proprietary Dynamic Code Analysis (DCA) engine that processes OpenTelemetry data to detect code-level performance issues, scalability bottlenecks, and runtime errors in pre-production environments before they reach production. The platform is offered as a free tier for individual developers and as paid subscriptions for teams and enterprises, with optional add-on modules including an Agentic AI SRE for autonomous remediation and an MCP Server that connects AI coding assistants to runtime observability data.

Is Digma a public or private company?

Digma is a private company. It is classified as venture growth investor backed and is currently operating.

When was Digma founded?

Digma was founded in 2022. It employs 1 to 10 people.

Where is Digma based?

Digma is headquartered in Sunnyvale, United States, in the North America region.

How does Digma make money?

Four revenue lines are on record. SaaS Subscription - Analysis Backend with IDE Plugin is the primary driver. The others are local Installation with Analysis Tool, free Tier and pre-Released Services.

Who are Digma's main competitors?

Broad incumbents on record are New Relic, Grafana Labs, Dynatrace and Datadog. Direct peers are Honeycomb, Lightrun, Coralogix, Sentry and Rookout. Sourcegraph is listed as an emerging player.

Does Digma have an API?

No public API is recorded for Digma.

What industry is Digma in?

Digma's product category is Developer Observability. Its primary akta.pro industry code is BPAEAKAK, Performance Engineering & Scalability Testing, with a secondary code of BPAEAKAC, Platform Engineering & Internal Developer Platforms (IDP). Its NAICS code is 5132 and its SIC code is 7372.

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