Deliver Your Best Analytical Work.

Handle routine requests faster and with greater accuracy, freeing your team to focus on the more valuable strategic analyses needed to drive informed business decisions.

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Slow insights,
underutilized data

Despite significant investments in the data stack, business users find it difficult to locate and use the right analytics assets for crucial business inquiries

Time to insight stretches weeks to months

Data and business analytics teams are overwhelmed

Delayed decision-making leads to missed revenue opportunities

Simultaneously, data leaders struggle to gain visibility into what business questions are being asked, and where they should prioritize the investment of resources within the analytics stack

Time Consuming,
Inconsistent Quality

Despite significant effort, analytics requests take too long, and business stakeholders question the insights they receive.

Unstructured processes delay insights from weeks to months

Skill gaps and inconsistent work methods lead to varying quality in insights

Ad-hoc requests leave little time for higher-impact, strategic analyses that deliver more critical business insights

These inefficiencies erode trust and limit the team’s ability to deliver meaningful business impact.

Experience the Solid advantage:
Faster, Better, Smarter

Slash response times by up to 90%

Scale your analysts’ productivity

Resolve data issues faster

Boost data-driven decision-making

Faster Insights, Without Compromise

Better Outcomes, Every Time

Smarter Teams, Smarter Decisions

Solid resurfaces past work and automates repetitive tasks, allowing analysts to handle requests faster without sacrificing accuracy, so they can focus on more strategic analyses

Solid delivers consistent, high-quality insights by replicating the methods of top-performing analysts – boosting team efficiency and business outcomes

Solid empowers analysts at all skill levels to start immediately and consistently deliver reliable insights through a personalized, streamlined workflow

Slow insights,
underutilized data

Despite significant investments in the data stack, business users find it difficult to locate and use the right analytics assets for crucial business inquiries

Time to insight stretches weeks to months

Data and business analytics teams are
overwhelmed

Delayed decision-making leads to missed revenue opportunities

Simultaneously, data leaders struggle to gain visibility into what business questions are being asked, and where they should prioritize the investment of resources within the analytics stack

Experience the Solid difference: Immediate Results, Lasting Benefits

Slash response
times by up to 90%

Scale your
analysts’ productivity

Resolve data
issues faster

Boost data-driven
decision-making

Trust Every
Recommendation

Our conversational AI swiftly delivers trusted, personalized recommendations with deep contextual understanding of the the data analytics artifacts, enhancing both the speed and quality of responses

Gain Unmatched
Insights

Solid’s continuous AI analysis offers strategic insights for optimal resource allocation within your analytics stack, allowing data leaders to quickly resolve data issues and strengthen trust in data

Seamless Integration, Immediate Impact

Deploy Solid in just minutes across any established BI tools and models. Experience instant business impact and unmatched value

How does Solid work?

Solid effortlessly connects to your existing analytics and reporting stack, including unstructured business knowledge. It utilizes a unique top-down approach starting with metadata from the business-facing layers of the data stack

Our AI-powered Metadata Activation Engine automatically and continuously analyzes data flows, users, metrics, and sources to identify business terms and entities, mapping out their interconnections, dimensions, and attributes

Our AI conversational chatbot surfaces the relevant BI artifacts and data models that business and data analysts need and trust. It also provides unmatched insights to data leaders, revealing not only which data artifacts are used but also why they are chosen