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DevIQ Unclaimed

Data Analytics

www.deviq.io

Denver, Colorado, United States

DevIQ helps enterprises accelerate digital transformation through cloud-native data, analytics, and AI software solution delivery.

DevIQ is a technology partner that specializes in digital strategy and product design and engineering for cloud-native data, analytics, and AI solutions. The company collaborates with clients to accelerate innovation, improve governance, and deliver secure, scalable data-driven software across industries. With a focus on end-to-end capability—from strategy and design to delivery and operations—DevIQ helps organizations transform their data, analytics, and AI initiatives into measurable business value.

Our mission is to empower organizations to realize business value from data and AI by delivering secure, governed cloud-native solutions through strategy, design, and engineering.

What we offer

AI Strategy Workshop

Aligns AI strategy with business priorities for effective implementation.

www.deviq.io/solutions/ai-strategy-workshop

AI Build Phase

Transforms AI strategy into operational capability through a structured build phase.

www.deviq.io/solutions/ai-build-phase

Databricks Accelerator

Accelerate your Databricks adoption with a secure, production-ready platform delivered in weeks.

www.deviq.io/solutions/databricks-accelerator

Data Strategy Workshop

Transforms fragmented data into actionable insights for measurable business outcomes.

www.deviq.io/solutions/data-strategy-workshop

Data Foundation Build

Transform fragmented data into a unified, AI-ready foundation that enhances decision-making and operational efficiency.

www.deviq.io/solutions/data-foundation-build

Agentic AI Systems

Transform your workflows with embedded AI that enhances operational efficiency and user experience.

www.deviq.io/ai

Market segments

Market size by segment

Growth potential (CAGR)

AI-driven workflow automation and autonomous agents

11.5 Billion USD36.2% CAGR

AI-enabled workflows and autonomous agents that reason, execute multi-step actions, orchestrate across systems, and augment users with copilots.

Enterprise AI strategy and governance

0.44 Billion USD28.15% CAGR

Assessments, strategic planning, and governance frameworks that benchmark AI readiness, prioritize agentic AI use cases, and define roadmaps to drive safe, measurable adoption.

Modern data foundation and semantic layer

1.73 Billion USD23.3% CAGR

Design and implementation of cloud-native data foundations, semantic layers, reusable data services, and governance to enable trusted analytics and AI.

Databricks adoption and acceleration

17.4 Billion USD25% CAGR

Rapid, enterprise-ready Databricks workspace configuration, secure governance, and hands-on enablement to accelerate analytics and AI delivery.

More information about our offering

AI Strategy Workshop

Defines where AI delivers value in the organization, prioritizes AI initiatives, and establishes a governed path to production. Conducted as an executive working session to align strategy across stakeholders.

  • Aligns Stakeholders Effectively
    Facilitates high-level discussions to ensure all executive stakeholders are aligned on AI priorities and initiatives.
  • Ensures Safe AI Deployment
    Creates clear governance and operational frameworks to ensure AI projects move from concept to production securely and efficiently.
  • Focuses on Measurable Outcomes
    Identifies and prioritizes AI initiatives that align with business objectives and provide tangible benefits.
  • Identifies Readiness and Gaps
    Assesses existing data quality and structural compatibility with strategic AI initiatives, allowing for informed decision-making.
  • Provides Actionable Next Steps
    Delivers a clear roadmap with prioritized initiatives, ensuring teams know the correct actions to take moving forward.
  • Enhances Strategic Clarity
    Helps organizations understand when and how to apply different AI methodologies to achieve desired business outcomes.

AI Build Phase

An execution step that builds your data foundation, intelligence layer, and workflow-embedded systems for production-grade enterprise AI.

  • Integrate AI Into Workflows
    Ensures that AI tools are embedded within workflows, enhancing productivity and decision-making.
  • Deliver AI Reliability
    Establishes systems designed to operate securely and reliably at an enterprise level, ensuring high availability.
  • Follow Structured Execution
    Provides a roadmap to guide organizations from strategy definition to operational capability seamlessly.
  • Establish Reliable Data Signals
    Unifies fragmented data across systems to expose operational signals necessary for innovation.
  • Turn Data Into Insight
    Establishes contextual retrieval systems to deliver meaningful insights and drive value.
  • Simplify Decision-Making
    Aligns AI functionality with real-time business processes to enhance user experience and efficiency.

Databricks Accelerator

DevIQ’s Databricks Accelerator establishes a fully configured workspace with secure, governed environments that deliver rapid value in weeks. Tailored for mid-market and enterprise teams, it simplifies the adoption of Databricks, enabling modern analytics and AI solutions on a robust data foundation.

  • Launch Fast
    Enable quick deployment to support immediate analytics and AI workloads.
  • Achieve Quick Wins
    Experience tangible benefits with actionable insights from Day One.
  • Ensure Security
    Implement strict security measures to protect sensitive data with compliance.
  • Leverage Expertise
    Benefit from the experience of certified engineers for optimal implementation.
  • Empower Teams
    Train your team for continued success and self-sufficiency post-implementation.

Data Strategy Workshop

Identifies where data can create the most business value, evaluates the current data estate, defines a modern data architecture, and provides a roadmap including a 90-day data pilot.

  • Ensures Strategic Focus
    Aligns business leaders on clear objectives to prioritize data initiatives effectively.
  • Identifies Current Limitations
    Provides insights into existing data quality, gaps, and opportunities for improvement.
  • Facilitates Quick Execution
    Guides organizations to swiftly implement impactful data initiatives and validate strategies.
  • Lays Foundation for Growth
    Establishes a flexible and scalable architecture that evolves with business needs.
  • Enhances Data Accessibility
    Facilitates the creation of reusable data assets that support analytics and AI initiatives.

Data Foundation Build

Scale data foundations and services into durable business capabilities. A modular engagement that implements a modern data foundation, semantic layer, reusable data services, analytics capabilities, and AI-ready access patterns to turn proprietary data into an operating capability.

  • Unify Data Across Systems
    Bring together customer, revenue, sales, service, operational, and financial data into a single trusted source for improved decision-making.
  • Create Reusable Data Services
    Develop modular data services that integrate seamlessly into various applications, enhancing the capacity for analytics and AI initiatives.
  • Ensure Data Governance
    Implement rigorous access controls, data quality checks, and audit trails to assure data reliability and compliance.
  • Build a Modern Data Platform
    Set up a robust data architecture that supports scalable operations and advanced analytics.
  • Plan Future Data Initiatives
    Outline strategic steps for scaling data capabilities and enhancing AI readiness based on business needs.
  • Create a Semantic Layer
    Establish clear definitions for key business metrics and ensure that data aligns with operational objectives.

Agentic AI Systems

DevIQ builds enterprise-grade, domain-specific AI agents, knowledge bases, and MCP-powered toolchains integrated with your products, platforms, and business workflows for production-ready AI.

  • Automates Key Tasks
    Agents operate within user workflows to streamline operations and reduce manual effort.
  • Delivers Tailored AI Solutions
    Optimizes deployment to meet specific business needs and capabilities.
  • Speeds Up Implementation
    Clear strategies and structures allow for swift deployment of AI solutions.
  • Delivers Intuitive Guidance
    Enhances the overall user experience by simplifying complex interactions.
  • Enhances Product Intelligence
    Incorporates advanced AI features that enrich user interaction and satisfaction.
  • Enhances Team Productivity
    Teams leverage AI support for quicker issue resolution and improved efficiency.
  • Stores Essential Context
    Facilitates seamless user experiences by retaining critical information throughout interactions.
  • Minimizes Operational Overheads
    Reduces costs through automated processes that increase efficiency.
  • Integrates Securely
    Ensures secure workflow and data handling while exposing necessary APIs.
  • Offers Clear Insights
    Organizes necessary data for effective AI utilization and decision-making.

References

Methodology and sourcing behind the figures shown above.

AI-driven workflow automation and autonomous agents

Primary anchor: autonomous-workflow sizing from Kaisoresearch (USD 11.5B in 2025, 36.2% CAGR) was used as the closest match to “AI-driven workflow automation and autonomous agents.” Multiple agent-focused reports in the results (MarketsandMarkets, MarketResearchFuture, The Business Research Company) show 2024–2025 market baselines in the USD 4–9B range and very high CAGRs (≈43–51%), supporting a high-growth outlook; the reported 36.2% CAGR from the autonomous-workflow report was used as a conservative, workflow-focused growth estimate.

Enterprise AI strategy and governance

Estimate uses AI governance market figures in the provided search results. Mordor Intelligence reports a 2026 market size of USD 0.44 billion and a 28.15% CAGR (2026–2031). Persistence Market Research gives a similar 2026 estimate (US$429.8M) and a substantially larger long-term forecast, indicating variance across providers; I use Mordor’s CAGR as a conservative growth projection while aligning market size to the 2026 consensus (~$0.43–0.44B).

Modern data foundation and semantic layer

Primary estimate draws from Mordor Intelligence’s market report for "Semantic Layer And Knowledge Graph For Agentic AI," which provides explicit market size (USD 1.73B in 2025) and a 23.3% CAGR to 2030. A DBTA/Futurum survey corroborates strong growth expectations for semantic-layer spending, forecasting growth acceleration (16% in 2026 to ~30% by 2031), supporting the high CAGR outlook for semantic-layer and related AI governance infrastructure.

Databricks adoption and acceleration

Estimate derived from broad big-data & analytics market figures and Databricks’ rapid revenue and AI-driven growth. Using InfraStartups’ $348B 2023 market estimate and assuming adoption/acceleration services (workspace configuration, governance, enablement) represent ~5% of that market yields ~ $17.4B. Databricks’ own revenue acceleration (multi‑billion run‑rate, >50% YoY) and Databricks/industry metrics on rapid AI model deployment support a high growth potential; therefore a ~25% CAGR is used to reflect AI-driven expansion and platform-specific services demand.

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