DevIQ Unclaimed
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-workshopAI Build Phase
Transforms AI strategy into operational capability through a structured build phase.
www.deviq.io/solutions/ai-build-phaseDatabricks Accelerator
Accelerate your Databricks adoption with a secure, production-ready platform delivered in weeks.
www.deviq.io/solutions/databricks-acceleratorData Strategy Workshop
Transforms fragmented data into actionable insights for measurable business outcomes.
www.deviq.io/solutions/data-strategy-workshopData Foundation Build
Transform fragmented data into a unified, AI-ready foundation that enhances decision-making and operational efficiency.
www.deviq.io/solutions/data-foundation-buildAgentic AI Systems
Transform your workflows with embedded AI that enhances operational efficiency and user experience.
www.deviq.io/aiMarket segments
Market size by segment
Growth potential (CAGR)
AI-driven workflow automation and autonomous agents
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
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
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
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 EffectivelyFacilitates high-level discussions to ensure all executive stakeholders are aligned on AI priorities and initiatives.
- Ensures Safe AI DeploymentCreates clear governance and operational frameworks to ensure AI projects move from concept to production securely and efficiently.
- Focuses on Measurable OutcomesIdentifies and prioritizes AI initiatives that align with business objectives and provide tangible benefits.
- Identifies Readiness and GapsAssesses existing data quality and structural compatibility with strategic AI initiatives, allowing for informed decision-making.
- Provides Actionable Next StepsDelivers a clear roadmap with prioritized initiatives, ensuring teams know the correct actions to take moving forward.
- Enhances Strategic ClarityHelps 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 WorkflowsEnsures that AI tools are embedded within workflows, enhancing productivity and decision-making.
- Deliver AI ReliabilityEstablishes systems designed to operate securely and reliably at an enterprise level, ensuring high availability.
- Follow Structured ExecutionProvides a roadmap to guide organizations from strategy definition to operational capability seamlessly.
- Establish Reliable Data SignalsUnifies fragmented data across systems to expose operational signals necessary for innovation.
- Turn Data Into InsightEstablishes contextual retrieval systems to deliver meaningful insights and drive value.
- Simplify Decision-MakingAligns 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 FastEnable quick deployment to support immediate analytics and AI workloads.
- Achieve Quick WinsExperience tangible benefits with actionable insights from Day One.
- Ensure SecurityImplement strict security measures to protect sensitive data with compliance.
- Leverage ExpertiseBenefit from the experience of certified engineers for optimal implementation.
- Empower TeamsTrain 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 FocusAligns business leaders on clear objectives to prioritize data initiatives effectively.
- Identifies Current LimitationsProvides insights into existing data quality, gaps, and opportunities for improvement.
- Facilitates Quick ExecutionGuides organizations to swiftly implement impactful data initiatives and validate strategies.
- Lays Foundation for GrowthEstablishes a flexible and scalable architecture that evolves with business needs.
- Enhances Data AccessibilityFacilitates 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 SystemsBring together customer, revenue, sales, service, operational, and financial data into a single trusted source for improved decision-making.
- Create Reusable Data ServicesDevelop modular data services that integrate seamlessly into various applications, enhancing the capacity for analytics and AI initiatives.
- Ensure Data GovernanceImplement rigorous access controls, data quality checks, and audit trails to assure data reliability and compliance.
- Build a Modern Data PlatformSet up a robust data architecture that supports scalable operations and advanced analytics.
- Plan Future Data InitiativesOutline strategic steps for scaling data capabilities and enhancing AI readiness based on business needs.
- Create a Semantic LayerEstablish 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 TasksAgents operate within user workflows to streamline operations and reduce manual effort.
- Delivers Tailored AI SolutionsOptimizes deployment to meet specific business needs and capabilities.
- Speeds Up ImplementationClear strategies and structures allow for swift deployment of AI solutions.
- Delivers Intuitive GuidanceEnhances the overall user experience by simplifying complex interactions.
- Enhances Product IntelligenceIncorporates advanced AI features that enrich user interaction and satisfaction.
- Enhances Team ProductivityTeams leverage AI support for quicker issue resolution and improved efficiency.
- Stores Essential ContextFacilitates seamless user experiences by retaining critical information throughout interactions.
- Minimizes Operational OverheadsReduces costs through automated processes that increase efficiency.
- Integrates SecurelyEnsures secure workflow and data handling while exposing necessary APIs.
- Offers Clear InsightsOrganizes 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.
- The Global Autonomous Workflow Market was valued at USD 11.5 billion in 2025.
- AI Agents market projected to grow from USD 7.84 billion in 2025 to USD 52.62 billion by 2030, registering a CAGR of 46.3%.
- 2024 Market Size $ 8.67 Billion; CAGR (2025 - 2035) 43.8%.
- Autonomous Agents market size reached $4.11 billion in 2025; expected to grow to $32.12 billion in 2030 at a CAGR of 50.8%.
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.
- global big data and analytics market was estimated at $348 billion in 2023 and is projected to grow at over 13% annually through 2030
- big data and business analytics market was valued at $198.1 billion in 2020 and is projected to reach $684.1 billion by 2030
- Databricks just announced it crossed $5.4 billion in revenue run-rate, growing >65% year-over-year
- organizations put 11 times more AI models into production this year compared to last year
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