Guidepad
- Company typePrivate
- Founded2022
- HeadquartersAlexandria, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
Guidepad firmographics
Firmographics- Name
- Guidepad
- Legal name
- GuidePad, Inc
- Website
- https://guidepad.io
- Company type
- Private
- Founded year
- 2022
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Ownership category
- akta.pro rank
Guidepad industry classification
Industry- Product category
- DevOps and MLOps Platform Software
- NAICS
- Computer Systems Design and Related Services (5415)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Platform Engineering & Internal Developer Platforms (IDP) (BPAEAKAC)
Keywords
Where Guidepad is headquartered
LocationHeadquarters
- HQ city
- Alexandria
- HQ country
- United States
- HQ region
- North America
Markets served
Guidepad business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales
Revenue model
- SaaS Subscription (Pro Plan): Monthly subscription at $1000 per license per month, targeting small to medium-sized teams. Includes access to the core Platform-as-Data framework, GUI and CLI access, on-premise deployment option, standard workflow automation, cross-cloud integration, ML Plugin access, priority support, and datastore mappings.
- Enterprise Plan: Custom-priced enterprise tier for large organizations with dedicated account management, custom integrations, advanced security with audits and compliance checks, training and onboarding, SLA guarantees, exclusive plugins, and custom development.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Monthly | Pro plan at $1000/license/month for small to medium teams |
Go-to-market motion1 record
Distribution channels2 records
Marketing channels4 records
Guidepad product offering
Product offeringCore offering
Guidepad is a Platform-as-Data development framework that lets engineering teams define systems, services, environments, types, operations, and workflows as dynamic data rather than static code files. The platform generates code objects at runtime, manages service states through State Plans, exposes operations via automatically generated REST/GraphQL APIs, and supports deployment across cloud, on-premise, and edge environments. It is extended by plugins such as the ML Plugin (feature store, model store, model deployment, experiment tracking) and the Managed Embeddings Service for semantic document search and custom embeddings.
Product overview
Guidepad is a unified Platform-as-Data framework for DevOps, MLOps, Data Engineering, and Workflow Automation. The core Guidepad Platform provides the foundational framework for defining systems, services, environments, types, and operations as data. This is extended through specialized add-ons including the ML Plugin for end-to-end machine learning lifecycle management (comprising Feature Store, Experiment Tracking, and Model Deployment tools), the Managed Embeddings Service for semantic search and document embeddings, and State Machines for autonomous multi-state system management. The WorkPlan System provides workflow automation defined as data rather than traditional DAG files. Available in Pro ($1000/license/month) and Enterprise pricing tiers.
Differentiator
Problem solved
Functional benefit
Products and services
- Guidepad Platform The core Platform-as-Data development framework that lets engineering teams declare systems, services, environments, types, and operations as data. Provides unified DevOps, MLOps, Data Engineering, and Workflow Automation capabilities with runtime code generation, automatic API generation (REST, GraphQL), native inter-service communication, and cross-environment deployment (cloud, on-premise, edge). Sold as Pro ($1,000/license/month) and Enterprise subscriptions to small/medium teams and large organizations.
- ML Plugin Extension of the Guidepad platform providing end-to-end ML lifecycle management, including an offline/online Feature Store with point-in-time joins, a Model Store with artifact management, Model Deployment via Docker image building, and Experiment Tracking with local and remote (Kubernetes) execution. For ML engineers and data scientists building, training, and deploying models on top of the Guidepad Platform.
- Managed Embeddings Service REST API-based service for generating and saving document embeddings, performing semantic document search, retrieving documents, generating summaries, and training custom embedding models using pretrained open-source language models. Exposed via Python SDK (guidepad and guidepad-ml packages) for downstream applications and developers needing knowledge retrieval and NLP capabilities.
Companies that use Guidepad
Customer profileSegments4 records
Ideal customer profiles2 records
Guidepad technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability6 records
Feature10 records
Guidepad partnerships and signals
Strategic signalRecent moves6 records
Expansion highlights5 records
Guidepad competitors and assessment
Company assessmentDirect peers
- Pulumi: Pulumi is a direct competitor in the infrastructure-as-code and platform engineering space, offering infrastructure management using general-purpose programming languages. Like Guidepad, it targets developer teams seeking to define and deploy systems across cloud, on-premise, and hybrid environments, but uses code rather than data as the source of truth.
- Temporal: Temporal provides durable workflow orchestration as a developer platform, directly comparable to Guidepad's WorkPlan system for workflow automation defined as data rather than DAG files. Both target engineering teams seeking reliable, code-defined orchestration of distributed operations.
- MLflow: MLflow is an open-source platform for managing the end-to-end machine learning lifecycle, including experiment tracking, model registry, and deployment. It directly competes with Guidepad's ML Plugin capabilities (Feature Store, Experiment Tracking, Model Deployment) but is a specialized point solution rather than a unified platform.
- Weights & Biases: Weights & Biases provides experiment tracking, model management, and MLOps tooling for machine learning practitioners. It competes directly with Guidepad's ML Plugin for ML lifecycle management, particularly around experiment tracking and model artifact storage.
Broad incumbents
- Terraform (HashiCorp): Terraform is the dominant infrastructure-as-code platform with millions of users and a vast provider ecosystem. It is the incumbent Guidepad explicitly positions against, but uses static file-based definitions (HCL) rather than Guidepad's data-driven paradigm, and is part of HashiCorp's broader cloud infrastructure portfolio.
- Vercel: Vercel provides a developer platform for frontend frameworks and serverless functions, abstracting infrastructure complexity. While narrower in scope than Guidepad, it represents the broader trend of platform-as-a-service solutions targeting developer productivity that Guidepad competes within.
Emerging players
- Prefect: Prefect offers a workflow orchestration platform focused on data and ML pipelines, providing a Python-native alternative to DAG-based systems like Airflow. It overlaps with Guidepad's workflow automation and Data Engineering use cases but is more narrowly focused on data pipelines rather than full platform engineering.
- Northflank: Northflank is a platform engineering solution that abstracts away infrastructure complexity for developers building and deploying applications. It overlaps with Guidepad's unified DevOps and workflow automation capabilities but focuses more on build/deploy pipelines than on data-driven system modeling.
- Dagster: Dagster is an asset-oriented orchestration platform for data engineering with native support for ML and analytics workflows. It competes with Guidepad's Data Engineering and Workflow Automation capabilities and shares the philosophy of moving beyond traditional DAG-file-based orchestration.
- Modal: Modal provides a serverless platform for running compute-intensive workloads including ML inference and data pipelines. It overlaps with Guidepad's ML Plugin and managed service capabilities for deploying and running ML models without managing underlying infrastructure.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat3 records
Key risks6 records
Key highlights6 records
Customer concentration
Guidepad social profiles
Digital presenceGuidepad financial estimates
Financial estimateRevenue estimate
Valuation estimate
Guidepad leadership team
Management profileNumber of profiles
Profiles2 records
Guidepad funding detail
Funding detailFunding overview
Funding rounds2 records
Investors3 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Guidepad 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 Guidepad
What does Guidepad do?
Guidepad is a Platform-as-Data development framework that lets engineering teams define systems, services, environments, types, operations, and workflows as dynamic data rather than static code files. The platform generates code objects at runtime, manages service states through State Plans, exposes operations via automatically generated REST/GraphQL APIs, and supports deployment across cloud, on-premise, and edge environments. It is extended by plugins such as the ML Plugin (feature store, model store, model deployment, experiment tracking) and the Managed Embeddings Service for semantic document search and custom embeddings.
Is Guidepad a public or private company?
Guidepad is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Guidepad founded?
Guidepad was founded in 2022. It employs 1 to 10 people.
Where is Guidepad based?
Guidepad is headquartered in Alexandria, United States, in the North America region.
How does Guidepad make money?
Two revenue lines are on record. SaaS Subscription (Pro Plan) is the primary driver. The others are enterprise Plan.
Who are Guidepad's main competitors?
Direct peers on record are Pulumi, Temporal, MLflow and Weights & Biases. Broad incumbents are Terraform (HashiCorp) and Vercel. Emerging players are Prefect, Northflank, Dagster and Modal.
Does Guidepad have an API?
Yes. REST API for the embeddings service enabling document insertion, semantic search, document retrieval, document summarization, and custom embedding model training. Operations include: bulk-insert-document, label-document-pair, train-embedding-matrix, update-custom-embeddings, insert-document-operation, document-search-operation, retrieve-document-operation, and summarize-operation. The ML Plugin also provides APIs for feature stores, model stores, and model deployment. Python SDK available via guidepad and guidepad-ml packages.
What industry is Guidepad in?
Guidepad's product category is DevOps and MLOps Platform Software. Its primary akta.pro industry code is BPAEAKAC, Platform Engineering & Internal Developer Platforms (IDP). Its NAICS code is 5415 and its SIC code is 7372.