MooveIt

Automotive technology consultancy developing custom software solutions for dealerships, OEMs, and mobility providers including inventory tools, customer portals, and data platforms.

MooveIt (Now Qubika) — Automotive Tech Consultancy Deep Dive

Website: https://www.mooveit.com (redirects to https://qubika.com)
Former Brand: Moove It | Current Brand: Qubika
Founded: 2006
Headquarters: 1141 Shady Lane, Austin, TX 78721, USA
Additional Offices: San Francisco, CA; Montevideo, Uruguay; Cali, Colombia
Contact: +1 (512) 949-8991 | hello@moove-it.com
Employees: ~877 (as of 2026)
LinkedIn Followers: ~88,500+


Executive Overview

MooveIt, which rebranded to Qubika in 2024-2025, is a custom software development and digital transformation consultancy founded in 2006 and headquartered in Austin, Texas. With nearly two decades of experience, the firm designs, builds, and deploys custom software for organizations spanning fintech, healthcare, e-commerce, insurance, media, and high-tech/semiconductors. While MooveIt is not exclusively an automotive consultancy, its capabilities in inventory tooling, web platform engineering, system integrations, IoT, embedded engineering, and AI/ML directly map to the needs of dealerships, OEMs, and mobility providers.

The company has grown to roughly 877 employees across four global offices and maintains some of the highest client Net Promoter Scores in the custom software development industry. It is audited by PwC, SOC 2 Type 2 and ISO 27001 certified, and compliant with the NIST AI Risk Management Framework. In 2025-2026, the firm was recognized among the world's top AI consultancies by Constellation Research, named one of the Financial Times' Fastest-Growing Companies in the Americas, and elevated to a Gold (Elite) Tier partner with Databricks.

For automotive dealers and OEMs evaluating technology partners, MooveIt/Qubika represents a nearshore-capable, enterprise-grade alternative to both massive system integrators (Accenture, Deloitte) and boutique agencies. Its studio-based delivery model, strong data/AI practice, and track record of platform engineering at scale make it particularly relevant for organizations undergoing digital transformation in the automotive sector.


History

MooveIt was founded in 2006 in Montevideo, Uruguay, by a team of software engineers who saw an opportunity to build high-quality digital products for North American clients using a nearshore delivery model. The company's original name — "Moove It" — reflected its focus on moving clients forward through technology. Early projects were concentrated on web application development for mid-market US companies.

By the early 2010s, MooveIt had established itself as a reliable nearshore partner, opening its US headquarters in Austin, Texas (1141 Shady Lane) and a second US office in San Francisco (548 Market St). The company grew steadily, building a reputation for Agile delivery, test-driven development, and deep client immersion — what the firm called "becoming part of the client's team" rather than operating as an arms-length contractor.

In 2012-2015, MooveIt expanded its service lines beyond pure software engineering into product design, DevOps, mobile development, and data engineering. This period saw the creation of the "Studio" delivery model — dedicated cross-functional teams organized by capability (Software Engineering, Mobile, Product Design, QA, Data/BI, AI/ML, SRE/DevOps, Product Management) rather than by project. This model allowed the company to scale expertise across clients while maintaining quality consistency.

The mid-to-late 2010s brought larger enterprise clients: Ripple (cryptocurrency infrastructure), Shopify (e-commerce), Tabula Rasa Healthcare (pharmaceutical traceability), PrescribeWellness (pharmacy management), and Catapult Health (preventive health). These engagements demonstrated MooveIt's ability to handle complex, regulated environments — relevant experience for automotive clients dealing with compliance (DOT, EPA, state-level dealership regulations).

In 2024, MooveIt rebranded to Qubika. The name change reflected a strategic shift from a generalist custom software shop to an AI-native, data-driven digital transformation firm. The company reorganized around three core pillars:

  • AccelerateAI — A comprehensive framework of best practices, workflows, and AI methodologies
  • Agentic Factory — Industry-specific AI agents for financial services, health/life sciences, and high-tech
  • Data Foundation — End-to-end data services for AI-ready infrastructure

The rebrand also aligned with major partnership upgrades: Databricks Gold (Elite) Tier partner, AWS Advanced Tier partner, and Snowflake Select Tier partner.

As of 2026, Qubika continues to operate from its legacy MooveIt offices while marketing under the new brand. The mooveit.com domain redirects to qubika.com, and the LinkedIn company page (88,500+ followers) carries the Qubika name. The automotive sector — while not called out as a dedicated industry vertical on the current website — falls under the company's "High-Tech & Semiconductors" and "Embedded Engineering" practices.


Products and Services

MooveIt/Qubika organizes its offerings into three layers: services (what they do for clients), studios (how they organize delivery), and pillars (strategic frameworks). The most relevant services for automotive/dealership clients are detailed below.

Core Services

Digital Transformation
Full-scale modernization of legacy systems, processes, and culture. MooveIt's approach emphasizes a "20% planning, 80% executing" methodology, startup mindset adoption, and cloud-based refactoring. The firm claims a 50% reduction in time-to-market for clients undergoing transformation. For dealerships, this translates to replacing decade-old DMS (Dealer Management System) integrations, legacy inventory management platforms, and paper-based sales workflows with modern, cloud-native solutions.

Custom Software Development
End-to-end design, build, test, and deployment of web and mobile applications. MooveIt uses Agile methodologies (Scrum, Kanban) with test-driven development (TDD) as a non-negotiable practice. The company builds in Ruby on Rails, React, React Native, Node.js, Python, .NET, and Go, among other stacks. For automotive clients, this includes custom CRM tools, inventory management dashboards, BDC (Business Development Center) software, and F&I product platforms.

Product Design & Discovery
UX research, service design, design thinking workshops, and UI design. MooveIt's Product Design Studio validates concepts before development, reducing risk and improving efficiency. This is particularly valuable for dealerships launching consumer-facing platforms (online sales, service scheduling, vehicle build-and-price tools) where conversion rate optimization directly impacts revenue.

Scale Your Team (Staff Augmentation)
Plug-in dedicated engineers, designers, and product managers into existing in-house teams. This is MooveIt's most straightforward offering for automotive clients: a dealership group or OEM with an internal engineering team can augment capacity with pre-vetted MooveIt engineers who integrate as full team members. The nearshore model (US time zones, Latin American delivery centers) makes this cost-effective without the communication overhead of offshore.

DevOps, SRE & Cloud
Cloud migration (AWS, Azure, GCP), CI/CD pipeline development, site reliability engineering, and infrastructure-as-code. For automotive clients migrating from on-premise DMS or building cloud-native applications, this practice handles the infrastructure layer. The company is an AWS Advanced Tier partner.

Machine Learning & Data Science
Custom ML model development, NLP, computer vision, predictive analytics, and data pipeline engineering. This practice is increasingly relevant for automotive: predictive inventory demand forecasting, dynamic pricing models, customer lifetime value prediction, service scheduling optimization, and used vehicle valuation models. The Data Studio has worked on hyper-personalization engines for edtech (YouScience) and financial services (Avant), techniques that transfer directly to automotive marketing and sales personalization.

Embedded Engineering
Development for semiconductors, embedded systems, IoT, and microcontrollers. This is Qubika's most directly applicable capability for automotive OEMs and Tier 1 suppliers, covering in-vehicle infotainment, telematics, firmware development, and IoT-connected vehicle platforms. The Embedded Engineering studio is a newer addition under the Qubika brand, signaling a strategic push into hardware-adjacent software.

Cybersecurity
Secure SDLC consulting, AI-powered cybersecurity, vCISO services, penetration testing, and AI security assessments. SOC 2 Type 2 and ISO 27001 certified. Dealerships handling PII, payment data, and vehicle history records increasingly need this capability.

Quality Assurance
AI-augmented QA, test automation, CI/CD integration, load/performance testing, and data testing. MooveIt has a dedicated QA Studio — unusual for a consultancy of its size — and QA is embedded throughout the delivery lifecycle rather than bolted on at the end.

The Studio Model

MooveIt's delivery is structured around eight studios:

  1. Software Engineering — Full-stack web and API development
  2. Mobile — Native (iOS/Android) and cross-platform (React Native)
  3. Product Design — UX research, service design, UI design
  4. Quality Assurance — Manual and automated testing
  5. Data, BI and Analytics — Data engineering, visualization, ML pipelines
  6. AI and Machine Learning — Generative AI, NLP, computer vision, predictive models
  7. SRE, DevOps and Cloud — Infrastructure, CI/CD, reliability engineering
  8. Product Management — Product strategy, roadmapping, process management

Clients can assemble multi-studio teams as needed. A dealership building an online sales platform, for example, might pull from Product Design, Software Engineering, Mobile, and QA studios simultaneously.

Strategic Pillars (Qubika Era)

AccelerateAI — A structured framework of AI workflows, prompt engineering systems (Qubika Prompt System / QPS), and best practices for integrating AI into engineering workflows. This includes a multi-agent orchestration approach that works inside tools like Cursor and Copilot.

Agentic Factory — Pre-built, configurable AI agents for industry-specific challenges. While initially focused on financial services and healthcare, the architectural pattern (LangGraph-based, Databricks-backed) is applicable to automotive use cases like automated service scheduling agents, parts inventory optimization agents, and customer follow-up automation.

Data Foundation — Lakehouse architecture design, data pipeline engineering, governance, and analytics infrastructure. Built primarily on Databricks, with 200+ certified Databricks engineers.


What They Excel At

1. Nearshore Delivery at Enterprise Scale

MooveIt's primary operational advantage is its nearshore delivery model — engineering hubs in Uruguay and Colombia operating in US time zones, with US-based account leadership in Austin and San Francisco. This gives automotive clients the cost efficiency of offshore development with the communication ease (same business hours, fluent English, similar work culture) of onshore. For a dealership group or OEM needing to scale engineering capacity quickly without opening a new office, this is a well-tested model.

2. Platform Engineering and Integration

MooveIt has deep experience building platforms that integrate with complex third-party systems. Their work with Shopify (e-commerce platform engineering), Ripple (financial protocol integration), and PrescribeWellness (pharmacy system interoperability) demonstrates the platform-engineering and API-integration skills that directly transfer to the automotive world — where a dealership's tech stack might include a DMS (Reynolds, CDK, Dealertrack), a CRM, a website CMS, an F&I provider, a service scheduler, and a manufacturer portal, all needing to communicate.

3. AI/ML Applied to Business Problems

Unlike consultancies that sell AI as a generic capability, MooveIt/Qubika has demonstrated specific ML applications: hyper-personalization engines, predictive analytics for customer behavior, computer vision for quality inspection, and conversational AI for customer engagement. These capabilities map directly to automotive use cases — personalized vehicle recommendations, predictive service reminders, photo-based vehicle condition assessment, and AI-powered BDC chatbots.

4. Quality and Compliance Infrastructure

MooveIt is one of the few mid-size consultancies with SOC 2 Type 2 certification, ISO 27001 certification, and NIST AI RMF compliance, plus PwC audits and a high published Client NPS score. For automotive clients — particularly those handling payment data, PII, and vehicle records — this compliance posture is a differentiator. The company's QA Studio, embedded testing practices, and TDD commitment mean fewer production issues compared to agencies that treat QA as a final-phase checkbox.

5. Rapid Team Assembly

The Studio model means clients don't hire individuals; they hire capability teams that can be assembled in weeks, not months. The "Scale Your Team" offering promises a 2-hour initial response time to inquiries. For a dealership group needing to staff a 6-month platform rebuild project, this speed matters.


Who They're Best For

Best Fit

Mid-to-large dealership groups (50+ rooftops) — Groups with the scale to justify custom platform development (custom CRM, unified inventory management across brands, enterprise BDC tools) benefit most from MooveIt's platform engineering and nearshore team augmentation. The ROI on custom software increases with volume.

OEMs and Captive Finance Companies — Manufacturers and their finance arms looking to build direct-to-consumer sales platforms, configure-to-order tools, EV incentive management systems, or connected vehicle data platforms. MooveIt's experience with regulated, high-compliance environments (healthcare, fintech) is relevant.

Mobility Providers (rental, subscription, fleet) — Companies building digital platforms for vehicle rental, subscription, or fleet management need multi-studio capability (mobile apps for consumers, web dashboards for operations, data pipelines for telematics, ML for dynamic pricing). MooveIt's breadth of studios fits this.

Automotive Technology Vendors — SaaS companies building products for the automotive industry (DMS-adjacent tools, service scheduling platforms, F&I software, inventory optimization) can use MooveIt for product development, scaling engineering teams, or accelerating time-to-market.

Organizations Undergoing Digital Transformation — Dealerships or OEMs replacing legacy on-premise systems (aging DMS, custom-built CRM from the 2000s, manual inventory workflows) with modern cloud-native platforms. MooveIt's Digital Transformation service is designed for exactly this.

Less Ideal Fit

Single-rooftop independent dealers — At MooveIt's scale and price point (nearshore custom development typically runs $80-150/hour), the engagement economics rarely make sense for a single dealership. Smaller operations are better served by off-the-shelf DMS/CRM solutions (Tekion, Dealertrack, etc.) rather than custom development.

Organizations needing a full DMS replacement — MooveIt does not offer a proprietary Dealer Management System. They build custom software. If your primary need is replacing your core DMS, you want Tekion, CDK, Reynolds, or Dealertrack — not a custom development consultancy.

Companies looking for a quick website or landing page — MooveIt is a full-stack product engineering firm, not a web design agency. If you need a brochure site or a simple inventory listing page, there are cheaper, faster options.


Questions to Ask During Evaluation

If you're evaluating MooveIt/Qubika as a technology partner, here are the key questions to raise:

On Automotive Experience

  • "Can you share specific examples of work you've done with dealerships, OEMs, or automotive technology companies?"
  • "How familiar is your team with DMS integrations — specifically Reynolds ERA, CDK Drive, or Dealertrack?"
  • "Have you built inventory management or vehicle listing platforms before? What data sources did they integrate with?"

On Delivery Model

  • "How are teams structured — dedicated engineering teams or shared resources across clients?"
  • "What does your onboarding process look like when we need to scale from 5 to 20 engineers?"
  • "How do you handle knowledge transfer when a project transitions to our internal team?"

On Technology

  • "What's your standard tech stack for a dealer-facing web application vs. a consumer-facing mobile app?"
  • "How do you approach API design for systems that need to integrate with 5+ third-party automotive platforms?"
  • "What's your experience with real-time inventory synchronization across multiple locations?"

On Compliance and Security

  • "Can you walk through your SOC 2 Type 2 controls and how they apply to our data?"
  • "How do you handle PCI DSS compliance for payment processing features?"
  • "What's your approach to data residency — can you keep dealer and customer data within the US?"

On Cost and Timeline

  • "What's the typical budget range for a minimum viable product vs. a full platform build?"
  • "How do you price — time-and-materials, fixed-bid, or retainer?"
  • "What's the fastest you've taken a project from kickoff to production, and what made that possible?"

Competitive Landscape

MooveIt/Qubika operates in the crowded but segmented custom software development and digital transformation market. Here's how it compares across relevant categories.

vs. Global System Integrators (Accenture, Deloitte, Cognizant, TCS)

FactorMooveIt/QubikaGlobal SIs
Minimum engagementTypically $100K-$500KOften $1M+
Team size per client5-50 engineers50-500+
Decision speedDays to weeksWeeks to months
Automotive specializationGeneralist with transferable skillsDedicated automotive practices
Nearshore modelYes (LatAm)Yes (India, Philippines, LatAm)
CostMid-range ($80-150/hr)High ($150-300/hr)

Takeaway: MooveIt is a better fit for mid-market engagements where you need SI-level quality without SI-level overhead and bureaucracy. For a $50M+ multi-year transformation, the global SIs have more automotive-specific bench strength. For a $500K-$5M platform build, MooveIt is more agile and cost-effective.

vs. Boutique Agencies (Thoughtbot, Hashrocket, Planet Argon)

FactorMooveIt/QubikaBoutique Agencies
Team size~877 employees15-150 employees
Service breadthFull-stack + AI + embeddedPrimarily web/mobile dev
ScalabilityCan staff 20+ person teamsTypically 3-8 person teams
Compliance certsSOC 2, ISO 27001, NIST AI RMFUsually none or SOC 2 only
Industry focusMultiple verticalsVaries by agency
Cost$80-150/hr$100-200/hr

Takeaway: MooveIt wins on scale and compliance. Boutique agencies offer deeper specialization in specific technologies or design philosophies but can't match MooveIt's ability to staff multi-studio, multi-year engagements with compliance certification.

vs. Automotive-Specific Vendors (Tekion, Dealertrack, CDK, Reynolds)

FactorMooveIt/QubikaAutomotive Vendors
Product vs. ServiceCustom development consultancyOff-the-shelf SaaS/platform
DMS replacementNoYes (core offering)
CustomizationFully customConfigurable within limits
IntegrationBuilds integrationsPre-built integrations
Industry knowledgeTransferable (not automotive-native)Deep automotive domain expertise

Takeaway: MooveIt is complementary, not competitive, with automotive-specific vendors. You wouldn't hire MooveIt to replace your DMS — you'd hire them to build a custom layer on top of your DMS, connect disparate systems, build consumer-facing digital retailing tools, or create data/ML models that your core DMS doesn't support.

vs. Other Nearshore Firms (Globant, Softtek, BairesDev)

FactorMooveIt/QubikaLarger Nearshore Firms
Scale~877 employees5,000-25,000+
Automotive verticalNo dedicated practiceDedicated automotive units
AI/Data maturityStrong (Gold Databricks partner)Varies
Quality reputationHigh NPS, PwC auditedMixed
Studio modelYesUsually skill-based staffing

Takeaway: MooveIt is smaller but higher-touch than mega-nearshore firms. If you want a dedicated automotive practice with hundreds of engineers who've worked specifically on dealer systems, Globant or Softtek may have an edge. If you want a smaller, more accountable team with stronger AI/ML and data engineering capabilities, MooveIt is the better choice.


What Dealers Should Know

1. MooveIt Is Now Qubika, but the Automotive Pitch Is Still Nascent

The rebrand to Qubika signals the company's pivot toward AI-native digital transformation. However, the automotive industry is not yet listed as a dedicated vertical on Qubika's website (their current verticals are Banking, Financial Services, Health & Wellbeing, Insurance, Media & Entertainment, and Hi-Tech & Semiconductors). Automotive work would likely fall under "Hi-Tech & Semiconductors" or "Embedded Engineering."

What this means for dealers: MooveIt/Qubika doesn't come with pre-built automotive solutions or deep institutional knowledge of dealership operations. You'll need to invest time in educating them about your business. The upside is that they bring fresh, cross-industry perspectives — the personalization engine they built for YouScience can inform your customer targeting, and the platform architecture they built for Shopify can inform your omnichannel retailing strategy.

2. The Studio Model is a Genuine Differentiator

Most consultancies sell you "developers." MooveIt sells you studio teams — product managers, designers, QA engineers, and developers who work together from day one. For a dealer building a complex platform (online sales + inventory management + service scheduling + customer portal), having a Product Design Studio involved from the start is valuable. The QA Studio ensures that integrations with your DMS, CRM, and lender platforms don't break in production.

3. Consider a Phased Engagement

Rather than committing to a multi-million dollar platform build upfront, consider starting with:

  • Phase 0 — Discovery (4-6 weeks): MooveIt's Product Design Studio maps your current tech stack, identifies integration pain points, and validates the product concept. Cost: $30K-60K.
  • Phase 1 — MVP (3-4 months): Build a minimum viable product addressing one core pain point (e.g., unified inventory management across rooftops). Cost: $150K-300K.
  • Phase 2 — Expansion: Add functionality (online credit application, service scheduling, AI-powered vehicle recommendations).

This reduces risk and lets you evaluate the partnership before deep commitment.

4. Compliance and Security Are Handled

For dealers concerned about data security — particularly with a nearshore team — MooveIt's certifications provide meaningful assurance:

  • SOC 2 Type 2 — Independent audit of controls for security, availability, and confidentiality
  • ISO 27001 — International standard for information security management
  • NIST AI RMF — AI risk management framework compliance
  • PwC audit — Big Four audit engagement

Data residency can be negotiated to keep customer and dealer data within the US.

5. Don't Expect Automotive-Specific IP

MooveIt does not have pre-built inventory management modules, DMS connectors, desking tools, or F&I integration templates. Every solution is built from scratch (or from the client's existing codebase). This means you get exactly what you need — but it also means longer timelines and higher costs compared to configuring an off-the-shelf product like Tekion or Dealertrack.

The best use case is a dealership group or OEM that has outgrown off-the-shelf software and needs a custom platform that their internal team either can't build (capacity) or shouldn't build (lack of specialized engineering talent in-house).

6. The AI Practice Is Genuinely Strong

Qubika's AI capability — particularly around the Databricks ecosystem, with 200+ certified engineers and a Gold Tier partnership — is a legitimate strength that most consultancies of similar size cannot match. For dealers exploring AI use cases (predictive inventory, dynamic pricing, AI-powered BDC, automated service upsells, vehicle image recognition for trade-in valuation), this is a rare concentration of expertise outside of the boutique AI-only firms.

7. Geographic and Cultural Fit

With primary delivery centers in Uruguay and Colombia (UTC-3 to UTC-5, overlapping US business hours), and US-based account management in Austin and San Francisco, the nearshore model works well for North American automotive clients. The Montevideo office has been operating since 2006 (19+ years of tenure), giving the company a stable, mature offshore presence — not a newly established cost center.


Final Assessment

DimensionRating (1-5)Notes
Automotive domain expertise2Strong transferable skills, no dedicated automotive practice
Engineering quality5TDD culture, QA Studio, SOC 2, PwC audited
AI/ML capability5Databricks Gold Partner, 200+ certified engineers
Delivery scalability4877 employees, multi-studio model, nearshore capacity
Cost efficiency4Nearshore rates, faster time-to-market offsets higher hourly cost
Cultural fit (US dealers)4US leadership, LatAm delivery, same time zones
Compliance & security5SOC 2, ISO 27001, NIST AI RMF, PwC
Speed to engagement42-hour response, rapid team assembly
Automotive-specific IP1No pre-built automotive solutions
Long-term partnership potential419-year track record, strong client retention signals

Overall: MooveIt/Qubika is a strong, well-audited, AI-capable custom software development firm that can serve the automotive sector well for specific use cases — particularly platform engineering, system integration, AI/ML model development, and nearshore team augmentation. It is not an automotive specialist, and a dealer or OEM engaging them should go in with eyes open about the teaching investment required. But for organizations that need enterprise-grade custom software with strong compliance credentials and genuine AI depth, MooveIt/Qubika is among the better mid-tier options available.

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