Allstacks
Allstacks operates an AI-native agentic software engineering intelligence platform that uses a proprietary context graph spanning the SDLC to deliver forecasting, spec-readiness validation, R&D capitalization reporting, and delivery-risk insights to enterprise engineering, product, and finance leaders.
- Company typePrivate
- Founded2017
- HeadquartersRaleigh, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Allstacks does
Allstacks operates an AI-native software engineering intelligence platform that serves enterprise engineering, product, and finance leaders. The company's stated mission is to help software organizations plan, manage, measure, and optimize the software creation process by aggregating engineering data across the software development lifecycle. Its customer base includes enterprise and mid-market software organizations across legal technology (Aderant, Intapp), retail and automotive aftermarket (Advance Auto Parts), fintech and payroll (Alkami, Cloudpay), HR and benefits technology (iCIMS, Beam Benefits, Hracuity), construction technology (Construct Connect), observability (Cribl), energy software (Enverus), childcare services (Bright Horizons), healthcare data (Cleardata), home services (Hipages in Australia), communications (Intrado), headless commerce (Kibo), and cannabis B2B distribution (Nabis).
The platform is built on a proprietary 'context graph' that connects project management, source control, CI/CD, and other SDLC tools, and exposes purpose-built AI agents — including the Intelligence Engine, Spec Readiness Agent, and Product Studio — that operate on this shared context. Native integrations cover Jira, Azure DevOps, and Linear. Allstacks is hosted on AWS, SOC2 Type II certified, and operates a metadata-only data architecture: source code, documents, budgets, and private communications are not stored. The product surface spans project forecasting, delivery-risk alerts, R&D capitalization reporting, DORA/SPACE benchmarking, individual-level behavioral productivity signals (e.g., rework concentration, senior-vs-junior contribution variance), an adversarial AI spec review workflow, and a context-aware specification workspace for AI-driven development launched in mid-2026.
Allstacks sells primarily through a direct, demo-led enterprise sales motion, supplemented by self-serve login, an ungated product tour, and a 90-day Design Partner Program that acts as a structured land-and-expand pathway for engineering teams adopting AI-assisted development. Pricing is quote-based, structured as an annual subscription with per-Authorized-User fees, non-cancelable and non-refundable terms, auto-renewal, and annual price escalators capped at the greater of 5% or CPI+2%. Out-of-scope support is billable on a time-and-materials basis. The company is a privately held Delaware C-corporation headquartered in Raleigh, North Carolina, and has raised approximately $25M across six disclosed funding events, most recently a $10M Series A in August 2024 led by Quadri Ventures with participation from M12 (Microsoft's Venture Fund) and First Rays Venture Partners.
Allstacks firmographics
Firmographics- Name
- Allstacks
- Legal name
- Allstacks, Inc.
- Website
- https://allstacks.com
- Company type
- Private
- Founded year
- 2017
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Allstacks operates an AI-native agentic software engineering intelligence platform that uses a proprietary context graph spanning the SDLC to deliver forecasting, spec-readiness validation, R&D capitalization reporting, and delivery-risk insights to enterprise engineering, product, and finance leaders.
- Ownership category
- akta.pro rank
Allstacks industry classification
Industry- Product category
- Software Engineering Intelligence / Developer Productivity Insight Platforms
- NAICS
- Custom Computer Programming Services (541511), Software Publishers (5132)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370), Services-Prepackaged Software (7372)
- akta.pro primary industry
- End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)
- akta.pro secondary industries
- AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF), Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG), AI/ML Engineering & Model Development Services (BPAEAHAF)
Keywords
Where Allstacks is headquartered
LocationHeadquarters
- HQ city
- Raleigh
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
Allstacks business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations
Revenue model
- SaaS Subscription (Hosted Services): Recurring SaaS subscription billed per Service Order, sized to a defined number of Authorized Users. Additional Authorized Users can be purchased at an incremental per-user-per-month fee. Subscription Fees are non-cancelable and non-refundable, with annual price increases capped at the greater of 5% or CPI + 2% on each Service Order anniversary. Initial Term renews automatically for successive Contract Terms unless either party gives 90 days notice.
- Professional Services (Out-of-Scope Support): Standard Support Services (telephone, email, chat during 9am–5pm ET Business Days) are bundled into the subscription at no extra fee. Out-of-scope support, support outside Service Hours, or support not attributable to a failure of the Services is charged on a time-and-materials basis at the then-current professional services rate — representing an ancillary services revenue stream.
- Design Partner Program / Future Tier: Allstacks runs a 'Design Partner Program' offering 90-day unlimited Spec Readiness Agent analysis to engineering teams navigating the shift to AI-assisted development — used as a structured onboarding pathway into the paid subscription.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise SaaS subscription, per Authorized User, term-based Service Order |
| Per seat | Monthly | Per-seat / per-Authorized-User add-on pricing |
Go-to-market motion1 record
Distribution channels4 records
Marketing channels7 records
Allstacks product offering
Product offeringCore offering
Allstacks builds and sells an agentic AI software engineering intelligence platform that sits on top of a "context graph" spanning the customer's project management, source control, CI/CD and other SDLC tools. Purpose-built AI agents (Intelligence Engine, Spec Readiness Agent, Product Studio) operate on this graph to predict delivery risk, score software spec readiness for AI-assisted development, surface engineering investment and behavioral productivity signals, and automate audit-ready R&D capitalization reporting for enterprise engineering, product, and finance teams.
Product overview
Allstacks offers a single unified platform — described on its homepage as "The Agentic Platform for Software Engineering and Product Management" — composed of a core Software Engineering Intelligence layer plus a growing set of AI-driven modules and agents. The platform is organized around an underlying context graph that connects every SDLC tool, on top of which sit the Intelligence Engine, Engineering Investment, 360° Insights, Project Forecasting, Goals & Alerts, and Developer Surveys modules; the R&D Capitalization Reporting (Software Cost Capitalization) module handles finance-facing workflows; Product Studio (launched June 2026) extends the platform upstream into product requirements building for agentic development; and the Spec Readiness Agent (launched March 2026) validates Jira/Azure DevOps/Linear tickets against the same context graph before AI coding agents begin work. DORA Scorecards and Engineering Frameworks (DORA, SPACE) provide standards-based benchmarking on top of the same data layer.
Differentiator
Problem solved
Functional benefit
Products and services
- Allstacks Platform Agentic software engineering and product management intelligence platform that uses a context graph spanning every SDLC tool so product and engineering teams can plan, manage, measure, and optimize the software creation process. Sold as an enterprise SaaS subscription on AWS with per-Authorized-User pricing.
- Intelligence Engine On-demand, exhaustive AI-analysis surface that drives adversarial AI reviewers, deep research, and AI-powered investigation across specs, delivery, and AI impact — replacing traditional engineering dashboards for CTOs and engineering leaders.
- Engineering Investment Provides complete visibility into engineering time and dollars spent across initiatives, used to translate engineering investment into business impact for engineering and finance leadership.
- 360° Insights Module for creating meaningful engineering reports and dashboards, including custom views, dynamic filters, and varied visualizations on top of the platform's underlying engineering data.
- Project Forecasting Tracks and forecasts all deliverables, drilling from project timelines down to individual Jira stories to provide reliable, drillable forecasts for delivery planning and predictability.
- Product Studio Context-aware workspace for product and engineering teams to build specifications that hold up in AI-assisted/agentic development, embedding senior PM-level context and adversarial AI review before work is green-lit. Ships refined specs and readiness-scored work plans to downstream AI coding agents.
- R&D Capitalization Reporting (Software Cost Capitalization) Aligns and tracks development costs and produces audit-ready capitalization reports built from engineering activity rather than timesheets, targeting finance and accounting functions in engineering-heavy enterprises.
- Spec Readiness Agent AI agent that evaluates and improves software specifications, connecting to project management tools (Jira, Azure DevOps, Linear) to assign readiness scores and generate remediation suggestions for AI-assisted development.
- Developer Surveys Module within Developer Experience that captures qualitative developer-experience signals to complement the platform's quantitative engineering metrics.
Quantifiable outcome
- Surfacing delivery risk 3–4 weeks earlier than status-based reporting
- +2 more outcomes
Companies that use Allstacks
Customer profileNamed customers17 records
Segments4 records
Ideal customer profiles3 records
Allstacks technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration3 records
AI capability11 records
Feature7 records
Allstacks partnerships and signals
Strategic signalScale indicators7 records
Recent moves6 records
Expansion highlights7 records
Allstacks competitors and assessment
Company assessmentDirect peers
- Swarmia: Swarmia is an engineering effectiveness platform focused on delivery planning, investment allocation and developer-experience signals, directly overlapping with Allstacks' Project Forecasting, DORA/SPACE benchmarking and Developer Experience modules.
- DX (getDX): DX is a developer-experience measurement platform built on DORA, SPACE and DX scores, with engineering-to-business narratives for leadership — directly overlapping with Allstacks' Developer Experience, DORA Scorecards and Engineering Investment modules.
- Waydev: Waydev is an engineering analytics platform built on Git data for delivery insights, cycle time and team performance — overlapping with Allstacks' Project Forecasting and engineering-investment analytics.
- Jellyfish: Jellyfish is an engineering management platform that connects SDLC systems to give engineering leaders visibility into investment, productivity and delivery; Allstacks explicitly names Jellyfish as a competitor and the platforms overlap on Engineering Investment, R&D capitalization and engineering-to-business alignment.
- LinearB: LinearB is a directly comparable engineering productivity and delivery-forecasting platform that pulls data from SDLC tools to surface delivery risk, cycle time and team performance — overlapping directly with Allstacks' Project Forecasting and Intelligence Engine modules.
- Cortex: Cortex is an internal developer portal and engineering intelligence platform that ingests SDLC data to surface service ownership, scorecards and developer productivity — comparable to Allstacks' 360° Insights and engineering framework benchmarking.
- Uplevel: Uplevel is an engineering productivity and developer-experience platform that uses calendar, GitHub and communication data to surface team-level signals — directly comparable to Allstacks' behavioral productivity, individual-level signals and DORA/SPACE benchmarking.
Emerging players
- Faros AI: Faros AI is an open-source-friendly engineering intelligence platform for delivery forecasting, AI-impact measurement and developer experience — an emerging player with significant overlap with Allstacks' Intelligence Engine and AI productivity positioning.
Broad incumbents
- GitHub (Copilot + engineering analytics): GitHub (part of Microsoft) provides native engineering analytics and Copilot Metrics for engineering productivity and AI-impact measurement — a broad incumbent that competes at the platform layer for engineering intelligence and is strategically linked to Allstacks via M12 / Microsoft.
- Atlassian (Jira + Compass): Atlassian is a broad incumbent developer and work-management platform whose Jira, Compass and Atlassian Analytics products embed value-stream and engineering intelligence natively — a broad incumbent that can absorb parts of Allstacks' offering and is also a key integration source via Atlassian Ventures (an Allstacks investor).
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks7 records
Key highlights7 records
Customer concentration
Allstacks social profiles
Digital presenceAllstacks compliance and trust
Trust signalCompliance4 records
Allstacks financial estimates
Financial estimateRevenue estimate
Valuation estimate
Allstacks leadership team
Management profileNumber of profiles
Profiles5 records
Allstacks funding detail
Funding detailFunding overview
Funding rounds6 records
Investors20 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Allstacks 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 Allstacks
What does Allstacks do?
Allstacks builds and sells an agentic AI software engineering intelligence platform that sits on top of a "context graph" spanning the customer's project management, source control, CI/CD and other SDLC tools. Purpose-built AI agents (Intelligence Engine, Spec Readiness Agent, Product Studio) operate on this graph to predict delivery risk, score software spec readiness for AI-assisted development, surface engineering investment and behavioral productivity signals, and automate audit-ready R&D capitalization reporting for enterprise engineering, product, and finance teams.
Is Allstacks a public or private company?
Allstacks is a private company. It is classified as venture growth investor backed and is currently operating.
When was Allstacks founded?
Allstacks was founded in 2017. It employs 11 to 50 people.
Where is Allstacks based?
Allstacks is headquartered in Raleigh, United States, in the North America region.
How does Allstacks make money?
Three revenue lines are on record. SaaS Subscription (Hosted Services) is the primary driver. The others are professional Services (Out-of-Scope Support) and design Partner Program / Future Tier.
Who are Allstacks's main competitors?
Direct peers on record are Swarmia, DX (getDX), Waydev, Jellyfish, LinearB, Cortex and Uplevel. Faros AI is listed as an emerging player. Broad incumbents are GitHub (Copilot + engineering analytics) and Atlassian (Jira + Compass).
Does Allstacks have an API?
No public API is recorded for Allstacks.
What industry is Allstacks in?
Allstacks's product category is Software Engineering Intelligence / Developer Productivity Insight Platforms. Its primary akta.pro industry code is HDAEANAA, End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management), with a secondary code of HDAEANAF, AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety). Its NAICS code is 541511 and its SIC code is 7370.