Solid Review 2025: Revolutionizing Analyst Workflow Automation with AI

Toni Bailey
By Toni Bailey September 28, 2025
Solid Logo

The Bottom Line

Solid is a game-changing AI-powered analyst workflow automation platform that dramatically improves productivity and decision-making for data teams. By resurfacing high-quality past work and providing built-in guidance, it helps analysts deliver faster, more consistent insights while giving managers greater visibility into team operations. With its ability to slash response times by up to 90% and seamless integration with existing tools, Solid is an essential solution for organizations looking to maximize the value of their analytics investments.

4.8/5
90% Response Time Reduction
20min Setup Time
50-60% Time Saved on Data Search
80-90% AI Documentation Accuracy

Table of Contents

Introduction & First Impressions

What is Solid?

Solid is an AI-powered analyst workflow automation platform that helps data teams deliver faster, more consistent insights by resurfacing high-quality past work and providing contextual guidance. It connects to existing analytics tools to create a unified knowledge base that transforms how analytics teams operate.

In today's data-driven business landscape, analytics teams face mounting pressure to deliver faster insights while managing an ever-growing workload. Solid emerges as a powerful solution to this challenge, offering an AI-powered analyst workflow automation platform that transforms how data teams operate. Based on extensive market research and user testimonials from 2025, Solid stands out as a transformative tool that addresses the core pain points of modern analytics workflows.

At first glance, Solid impresses with its sleek interface and intuitive design. The platform's focus on enhancing analyst productivity is immediately apparent, with a clear emphasis on resurfacing relevant past work and providing contextual guidance. What sets Solid apart from conventional workflow tools is its deep understanding of the analytics process and the specific challenges faced by data teams.

Solid's intuitive dashboard provides quick access to relevant analytics assets and insights

Our research indicates that organizations implementing Solid have experienced dramatic improvements in response times and insight quality. The platform's ability to learn from successful past work and apply that knowledge to new requests creates a virtuous cycle of continuous improvement that benefits both analysts and stakeholders.

Product Overview & Specifications

Solid is an analyst workflow automation platform designed to help data and business analytics teams work more efficiently by leveraging AI to resurface high-quality past work and provide guidance for new tasks. The platform connects to existing analytics tools and data sources, creating an AI-powered knowledge base that helps analysts deliver faster, more consistent insights.

Key Differentiators

  • AI-powered workflow automation that learns from successful past work
  • Seamless integration with existing analytics tools and data sources
  • Quick 20-minute setup with immediate value delivery
  • Enhanced visibility for managers into team activities and output

Key Specifications

  • Platform Type: AI-powered analyst workflow automation
  • Target Users: Data analysts, business analysts, analytics leaders, CDAOs
  • Deployment Options: Cloud-based SaaS
  • Core Technology: AI-powered semantic layers with agentic platform architecture
  • Setup Time: 20 minutes
  • Performance Metrics: Up to 90% reduction in response times, 50-60% time saved on data search
  • Pricing Model: Contact-based pricing (demo required)

Solid's value proposition centers on three key benefits: slashing response times by up to 90%, boosting productivity by building on previous success, and enabling analysts to focus on strategic, high-impact insights. The platform achieves this by automatically documenting data assets and creating visual maps of the data stack organized by business topics.

What's Included

Solid provides a comprehensive solution for analytics workflow automation, including:

  • AI-powered workflow automation engine
  • Metadata mapping and activation capabilities
  • Integration with existing BI tools and data sources
  • Conversational AI chatbot for surfacing relevant insights
  • Analytics knowledge base creation and management
  • Visibility tools for analytics leaders and managers

Design & Build Quality

Solid's design philosophy prioritizes usability and efficiency, with a clean, modern interface that makes complex analytics workflows more accessible. The platform's architecture is built around a central AI engine that connects to various data sources and tools, creating a unified experience for users.

The user interface is thoughtfully designed with both technical and non-technical users in mind. Analysts will appreciate the streamlined workflow that reduces context switching, while managers benefit from clear visibility into team activities and output. The platform's design encourages collaboration and knowledge sharing, breaking down silos that often exist in analytics teams.

Solid's clean, intuitive interface prioritizes usability for both technical and non-technical users

From a technical perspective, Solid demonstrates excellent build quality with robust integrations across the entire modern data stack. The platform connects to BI tools (Power BI, Tableau, Looker, Qlik, Sisense), data warehouses (Snowflake, Databricks, BigQuery), model layers (dbt, Atscale), quality tools (Anomalo, Monte Carlo, Bigeye), catalogs (Atlan, Collibra, Alation), and communication platforms (Slack, Teams). This comprehensive integration ecosystem ensures seamless data flow and eliminates manual transfers or duplicative work.

Design Philosophy

Solid's design is built around three core principles:

  1. Simplicity - Making complex analytics workflows accessible to all users
  2. Integration - Seamlessly connecting with existing tools and data sources
  3. Visibility - Providing clear insights into team activities and output

Solid's Impact by the Numbers

90%
Reduction in response times
50-60%
Time saved on data search
20min
Setup time
80-90%
AI documentation accuracy

Performance Analysis

Core Functionality

Solid's core functionality revolves around three key capabilities: resurfacing high-quality past work, providing built-in guidance and validation, and personalizing workflows to match business needs. Our research indicates that these capabilities deliver significant performance improvements across several dimensions:

Knowledge Resurfacing

Solid excels at identifying and resurfacing relevant tasks, queries, and data sources from previous successful requests. The platform evaluates the quality of past work to ensure only high-quality content is recommended, giving analysts a head start on new tasks.

Guidance & Validation

Built-in guidance helps analysts define tasks better, clarify requests, recommend appropriate BI reports, and surface relevant SQL queries. This results in more accurate, consistent insights that stakeholders can trust.

Tool Integration

Solid seamlessly connects with tools like Jira, Databricks, and Snowflake, providing actionable recommendations for datasets, queries, and workflows that help analysts execute complex tasks quickly and efficiently.

Performance Breakthrough

Solid's most significant achievement is its ability to reduce response times by up to 90% while simultaneously improving the quality and consistency of analytics outputs. This dual benefit creates a powerful value proposition for organizations looking to maximize the impact of their analytics investments.

Key Performance Categories

Response Time Improvement

One of Solid's most impressive achievements is its ability to slash response times by up to 90%. This dramatic improvement comes from eliminating redundant work and providing analysts with immediate access to relevant past work and insights. Organizations using Solid report being able to respond to business questions in hours instead of days or weeks.

Comparison of response times before and after implementing Solid, showing up to 90% reduction

Insight Quality and Consistency

Beyond speed, Solid significantly improves the quality and consistency of analytics outputs. By surfacing proven approaches and validating new work against successful past examples, the platform helps eliminate errors and inconsistencies that can undermine trust in data. This leads to more reliable insights and better business decisions.

Resource Optimization

Solid helps organizations make better use of their analytics resources by reducing time spent on routine tasks and repetitive work. This allows analysts to focus on higher-value activities that drive strategic impact. Analytics leaders gain visibility into team activities and can better allocate resources based on business priorities.

"Solid's AI-powered workflow automation has transformed how our analytics team operates. Tasks that used to take days now take hours, and our analysts can focus on delivering strategic insights instead of hunting for information or redoing past work."

User Experience

How does it feel to use Solid?

Users describe Solid as having a "surprisingly intuitive" interface that feels like "working with a knowledgeable colleague" rather than a typical software tool. The platform's AI capabilities anticipate needs and provide relevant suggestions without being intrusive, creating a smooth, productive workflow experience.

Setup and Onboarding

Solid offers a remarkably streamlined setup process, requiring just about 20 minutes of user effort to get started. The platform automatically connects to existing tools and begins mapping metadata from the data stack, business applications, and unstructured data sources. This quick setup allows organizations to realize value almost immediately, without lengthy implementation projects.

Day 1

20-minute initial setup and connection to data sources

Days 2-3

Automatic metadata mapping and knowledge base creation

Week 1

First insights and recommendations available to users

Weeks 2-4

Platform learns from usage patterns and refines recommendations

The onboarding experience is designed to minimize disruption to existing workflows while gradually introducing new capabilities. Users can continue working with their familiar tools while Solid works in the background to build its knowledge base and begin surfacing relevant insights.

Daily Usage

In daily use, Solid becomes an invaluable companion for analysts, helping them navigate complex data environments and respond to business requests more efficiently. The platform's AI conversational chatbot serves as an interface to the knowledge base, surfacing relevant BI artifacts and data models that analysts need.

Solid's AI chatbot interface provides contextual recommendations and guidance

For analytics leaders and managers, Solid provides unprecedented visibility into team activities and output. They can see not only which data artifacts are being used but also understand why they're being chosen, helping to identify patterns and opportunities for improvement.

Learning Curve

Despite its sophisticated capabilities, Solid presents a gentle learning curve for most users. The platform's intuitive design and focus on enhancing existing workflows rather than replacing them helps users quickly adapt and start realizing benefits. The conversational interface makes complex capabilities accessible even to less technical users.

Interface and Controls

Solid's interface is clean and modern, with thoughtful organization that helps users quickly find what they need. The platform balances powerful capabilities with ease of use, avoiding the overwhelming complexity that plagues many enterprise tools. Controls are logically grouped and labeled, with consistent patterns that make navigation intuitive.

User Experience Highlights

Quick 20-minute setup process with minimal user effort
Intuitive AI conversational interface for accessing insights
Seamless integration with existing tools and workflows
Clear visibility for managers into team activities and output
Gentle learning curve with progressive discovery of features
Consistent interface patterns that make navigation intuitive

Comparative Analysis

In the rapidly evolving landscape of AI-powered workflow automation tools, Solid stands out for its specific focus on analytics workflows and deep integration with data tools. While many workflow automation platforms offer general capabilities, Solid's specialized approach delivers unique advantages for analytics teams.

Why General Workflow Tools Fall Short

General workflow automation tools often lack the specialized knowledge and integrations needed for complex analytics workflows. They may automate basic tasks but miss the nuanced understanding of data models, BI tools, and analytics processes that Solid provides. This gap leads to incomplete solutions that don't fully address the needs of analytics teams.

Feature Solid General Workflow Tools BI Platforms
Analytics-specific workflows Excellent Limited Good
AI-powered recommendations Advanced Basic Moderate
Integration with data tools Comprehensive Limited Moderate
Setup time 20 minutes Hours to days Days to weeks
Learning curve Gentle Moderate Steep
Management visibility Excellent Good Limited

Unique Selling Points

Solid's key differentiators include:

  • Analytics-specific AI: Unlike general-purpose workflow tools, Solid's AI uses agentic platform architecture with specialized tools and a supervisor system that understands analytics workflows, data models, and business questions.
  • Knowledge base creation: Solid automatically builds a comprehensive knowledge base with 80-90% AI-generated documentation accuracy, eliminating the need for manual documentation while maintaining high quality.
  • Quality evaluation: The platform uses LangSmith for deep observability, allowing continuous improvement and ensuring only high-quality examples are resurfaced, improving consistency and reliability.
  • Rapid time-to-value: With its 20-minute setup process and deployment in under 2 hours, Solid delivers value almost immediately, unlike tools that require lengthy implementation projects.
Solid's specialized focus on analytics workflows gives it a significant edge over general-purpose tools

When to Choose Solid

Based on our research, Solid is the ideal choice in these scenarios:

What Research Shows Users Loved

  • Dramatic time savings with up to 90% reduction in response times
  • Quick setup process requiring just 20 minutes of user effort
  • Seamless integration with existing tools like Jira, Databricks, and Snowflake
  • AI-powered recommendations that improve quality and consistency
  • Enhanced visibility for managers into team activities and output
  • Reduced repetitive work allowing analysts to focus on strategic tasks
  • Gentle learning curve with intuitive interface and progressive discovery

Areas for Improvement According to Users

  • Limited customization options for some aspects of the workflow
  • Some integrations need refinement for optimal performance
  • Documentation could be more comprehensive for advanced features
  • Pricing transparency could be improved with public pricing information
  • Mobile experience not as robust as desktop interface

Evolution & Updates

2025 Major Update: Agentic Platform Architecture

In 2025, Solid made a significant leap forward by transitioning to an agentic platform architecture. This new approach includes a supervisor system with planning capabilities, multiple specialized tools, and deep observability through LangSmith integration. The platform now uses different LLM models (including ChatGPT's o3-mini) strategically to balance quality, cost, and performance, representing a major enhancement in Solid's ability to handle complex analytics workflows.

Solid has undergone significant evolution since its inception, with the most notable recent advancement being its transition to an agentic platform architecture in 2025. This shift represents a major leap forward in the platform's capabilities and flexibility.

Recent Platform Advancements

The move to an agentic platform allows Solid to run different capabilities in any order, sometimes running the same capability multiple times at different points in the process to deliver better results. This flexibility helps the platform handle complex scenarios that weren't possible with the previous architecture.

Solid's new agentic platform architecture provides greater flexibility and adaptability

Key improvements in the latest version include:

Future Roadmap

Based on public statements and industry analysis, Solid's future development appears focused on several key areas:

The rapid pace of Solid's evolution reflects the dynamic nature of the AI and analytics landscape in 2025. The company has demonstrated an ability to quickly adapt to changing needs and incorporate new technologies, suggesting a promising trajectory for future development.

Purchase Recommendations

Is Solid Right for You?

Solid delivers the most value for mid-size to enterprise organizations with dedicated analytics teams facing high demand. If your analysts are spending significant time on repetitive tasks, searching for information, or recreating past work, Solid can dramatically improve their productivity and output quality.

Best For (Based on Research Data)

Our analysis indicates that Solid is an excellent fit for:

  • Mid-size to enterprise organizations with dedicated analytics teams facing high demand
  • Data-driven companies looking to improve analytics efficiency and output quality
  • Organizations with significant investments in data infrastructure seeking to maximize ROI
  • Analytics leaders who need better visibility into team activities and resource utilization
  • Companies experiencing rapid growth where analytics teams are struggling to keep pace
Solid excels in environments with high analytics demand and established data infrastructure

Skip If (According to User Feedback)

Solid may not be the ideal solution for:

Alternatives to Consider

Based on market research, these alternatives may be worth exploring depending on your specific needs:

Where to Buy

Solid is available directly from the company through their website at getsolid.ai. Interested organizations can request a demo to see the platform in action and discuss pricing options tailored to their specific needs.

Pricing Note

As of September 2025, Solid follows a demo-first approach with contact-based pricing. The company does not publish standard pricing on their website, instead offering customized pricing based on organization size, usage requirements, and specific needs. With rapid deployment in under 2 hours and a 20-minute setup process, Solid focuses on demonstrating immediate value before discussing pricing.

The typical purchasing process involves:

  1. Requesting a demo through the Solid website
  2. Participating in a needs assessment call with the Solid team
  3. Receiving a customized proposal based on your organization's requirements
  4. Setting up a pilot implementation to validate the value
  5. Proceeding with full implementation upon successful pilot

Ready to Transform Your Analytics Workflow?

Experience how Solid can help your team deliver faster, more consistent insights while reducing repetitive work and improving visibility.

Book a Demo

Final Verdict

The Bottom Line

Solid earns our highest recommendation for organizations looking to transform their analytics workflows. With its ability to dramatically reduce response times while improving insight quality, it represents a significant advancement in how analytics teams operate. The platform's quick setup, seamless integrations, and focus on enhancing existing workflows make it a standout solution in the rapidly evolving AI workflow automation space.

After thorough research and analysis of market data, Solid emerges as a standout solution in the analytics workflow automation space. With its AI-powered approach to resurfacing high-quality past work and providing guidance for new tasks, Solid addresses the core challenges facing analytics teams today: overwhelming demand, inconsistent outputs, and limited visibility into team activities.

The platform's ability to slash response times by up to 90% while improving insight quality represents a significant advancement for analytics teams. By automating routine tasks and providing contextual guidance, Solid frees analysts to focus on strategic work that delivers greater business impact.

Solid delivers value across multiple dimensions, from time savings to improved insight quality

What sets Solid apart is its deep understanding of analytics workflows and seamless integration with existing tools. Unlike general-purpose automation platforms, Solid is purpose-built for analytics teams, with specialized capabilities that address their unique challenges. The platform's quick setup process and gentle learning curve ensure rapid time-to-value, making it an attractive option for organizations looking to improve analytics efficiency.

While there is room for improvement in areas like customization options and mobile experience, these limitations are minor compared to the substantial benefits the platform delivers. For organizations with dedicated analytics teams facing high demand, Solid represents an excellent investment that can transform how analytics work gets done.

4.8/5

Frequently Asked Questions

How does Solid improve analyst productivity?
Solid boosts analyst productivity by automatically resurfacing relevant past work, providing guidance for new tasks, and automating routine processes. This eliminates time spent searching for information or recreating existing work, allowing analysts to focus on high-value analysis and insights. The platform's AI learns from successful past work to continuously improve recommendations, creating a virtuous cycle of increasing productivity.
What tools does Solid integrate with?
Solid integrates with a comprehensive range of analytics and business tools, including BI platforms (Power BI, Tableau, Looker, Oracle, SAP, Qlik, Sisense), data warehouses (Snowflake, Google BigQuery, Databricks), model layers (dbt, Atscale), quality and observability tools (Anomalo, Monte Carlo, Bigeye), catalogs (Atlan, Collibra, Alation), identity providers (Okta, Azure Active Directory), pipelines (Fivetran, Informatica), and communication platforms (Slack, Teams). The platform meets analysts where they already work, eliminating the need to change existing workflows.
How long does it take to implement Solid?
Solid can be set up with just 20 minutes of user effort. The platform automatically connects to existing tools and begins mapping metadata from the data stack, business applications, and unstructured data sources. This quick setup allows organizations to start realizing value almost immediately, without lengthy implementation projects. The platform continues to build its knowledge base over time, with value increasing as it learns more about your specific environment.
Is Solid secure and compliant with data regulations?
Yes, Solid is designed with security and compliance in mind. The platform includes robust security features like role-based access controls, encryption, and audit logging. It helps organizations maintain governance and compliance while personalizing workflows to match business needs. Specific compliance certifications may vary, so organizations with particular regulatory requirements should discuss these with the Solid team during the evaluation process.
How does Solid's pricing work?
Solid follows a demo-first, contact-based pricing model. The company offers customized pricing based on organization size, usage requirements, and specific needs. With rapid deployment in under 2 hours and just a 20-minute setup commitment for trials, Solid focuses on demonstrating immediate value before discussing pricing. Organizations can request a demo through getsolid.ai to see the platform in action and receive a customized proposal based on their requirements.
Toni Bailey

About the Author

Toni Bailey is a senior analyst at Waves and Algorithms, specializing in AI-powered business tools and workflow automation solutions. With over a decade of experience in data analytics and business intelligence, Toni brings a practitioner's perspective to evaluating tools that help organizations make better use of their data assets.

AI Transparency Notice

This content was developed using a hybrid approach combining AI-powered research analysis with human expertise. AI was used to analyze 2025 market research data, identify key trends, and help structure the initial draft, which was subsequently reviewed, edited, and verified by our research team to ensure accuracy and value. The review's findings and recommendations are based exclusively on 2025 market research and authenticated user reports rather than direct personal product testing by individual authors.