Best Artificial Intelligence (AI) Consulting Services - Page 31

How Many Artificial Intelligence (AI) Consulting Services Products Does G2 Track?

Total Products under this Category: 731

Category Stats (Sep 2026)

  • Average Rating: 4.79/5 (↑0.01 vs Aug 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Corsica Technologies (+0.38%) - Among all products in this category, Corsica Technologies recorded the largest rating increase compared to last month

Last updated: September 01, 2026

How Does G2 Rank Artificial Intelligence (AI) Consulting Services Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 1,500+ Authentic Reviews
  • 731+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Artificial Intelligence (AI) Consulting Services

G2 Grid® for Artificial Intelligence (AI) Consulting Services plotting products by satisfaction and market presence

Highlighted products: UST Global, Kanerika, Accenture, InfoObjects, Compass, Valere Labs, LongShot AI, and OneWave AI.

Underlying data: [Grid® JSON](https://www.g2.com/categories/artificial-intelligence-consulting/grids.json?focus%5B%5D=ust-global&focus%5B%5D=kanerika&focus%5B%5D=accenture&focus%5B%5D=infoobjects&focus%5B%5D=barefoot-labs-compass&focus%5B%5D=valere-labs&focus%5B%5D=longshot-ai&focus%5B%5D=onewave-ai)

Machine Learning Ops [MLOps] as a Service

Supercharge your Machine Learning operations with MLOps as a Service, tailored for startups and SMEs, offering end-to-end automation of data preparation, model deployment, and monitoring. Save time, enhance model quality, and cut costs while receiving expert support, empowering your business to thrive in the competitive machine learning landscape.

Who Is the Company Behind Machine Learning Ops [MLOps] as a Service?

  • Seller: Yobitel
  • Year Founded: 2014
  • HQ Location: Ilford, GB
  • LinkedIn® Page: www.linkedin.com
    14 employees on LinkedIn®

Madavi

Madavi is a Human-Centric AI strategy and marketing agency helping SMEs worldwide cut through the noise of AI adoption and turn it into measurable business growth. We believe AI should work for people — not the other way around. That means we don't drop technology into organisations and walk away. We embed alongside your team to understand your customers, your constraints, and your goals — then design AI-powered strategies and marketing systems that actually fit how your business works. From AI readiness assessments and content automation to full-funnel digital marketing powered by intelligent workflows, Madavi bridges the gap between AI's potential and your day-to-day reality.

Who Is the Company Behind Madavi?

Maestro Foundry

Maestro Foundry is a Los Angeles-based digital product agency specializing in mobile app development, web development, MVP development, and e-commerce solutions. We help startups and enterprises design, build, and launch scalable, high-performance applications tailored to their industry needs.

Who Is the Company Behind Maestro Foundry?

Magna Data

Magna Data is an enterprise-focused technology company specializing in data, AI, and ERP solutions. We provide intelligent automation platforms, including AI-driven workflows and custom implementations, designed to optimize operational efficiency and resolve bottlenecks for businesses. Our focus is on helping organizations transform raw data into actionable insights, decisions, and growth through custom software and workflow automation. We deliver scalable, secure, and data-driven solutions to assist enterprises in maximizing productivity, bridging the gap between complex operational requirements and streamlined, modern performance.

Who Is the Company Behind Magna Data?

mAI Custom AI Marketing Models

mAI Custom AI Marketing Models are enterprise-ready marketing automation solutions designed and delivered by marktgAI. Unlike generic marketing software, mAI goes beyond simple workflow automation by embedding artificial intelligence into every step of the customer journey. The result is a private, intelligent environment that predicts, personalizes, and optimizes campaigns across channels — from content and ads to email and analytics. At its core, mAI is built to solve the challenges that modern marketing teams face: siloed data, inefficient spend, and the rising demand for personalization at scale. The platform connects directly to your marketing stack — including Google Analytics 4, HubSpot, WooCommerce, Google Ads, Microsoft Advertising, Meta Ads, LinkedIn Ads, and Google Search Console. This integration allows mAI to ingest key behavioral, campaign, and commerce data, and output actionable insights such as predictive lead scoring, next-best-action recommendations, and automated creative optimization. For marketers, this means faster execution and smarter decisions. Teams can generate SEO briefs, on-brand content, and ad copy in minutes, while AI dynamically allocates budgets across paid channels to maximize ROAS. Email workflows become more intelligent with send-time optimization and personalized journeys. Real-time dashboards surface anomalies and opportunities, so campaigns can be adjusted instantly. Enterprises benefit from secure, compliant deployments. mAI Custom Models can run in a private cloud environment with encryption in transit and at rest, role-based access controls, and GDPR/CCPA readiness. This ensures sensitive customer and marketing data remains protected, while delivering the agility and intelligence of AI automation. mAI also adapts to industry and regional requirements through tailored model environments. For example, an ecommerce business can prioritize predictive purchase intent and cart abandonment workflows, while a B2B team can optimize for lead quality and account-based engagement. Each deployment is customized to align with business objectives, KPIs, and compliance frameworks. The impact is measurable: reduced costs, higher conversion rates, and accelerated revenue growth. Clients typically see 30–50% efficiency gains in campaign operations and significant improvements in CPL and lead-to-customer conversion. In short, mAI Custom AI Marketing Models transform marketing automation into an AI-driven growth engine. They empower SMBs and enterprises alike to move from manual, fragmented processes to intelligent, end-to-end automation that delivers personalization at scale and drives business outcomes.

Who Is the Company Behind mAI Custom AI Marketing Models?

  • Seller: marktgAI
  • Year Founded: 2023
  • HQ Location: Montreal, CA
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Mammoth-AI

Mammoth-AI is an enterprise AI services company that helps organizations move from AI ambition to production-ready execution. Founded in 2018, we work across AI strategy, data readiness, tool enablement, and operationalizing continuous test — we address the foundational gaps that cause most AI initiatives to fail. We are ISO 9001/27001 certified and in the process of obtaining AI Certification 42001. Mammoth-AI operates globally across the US, Canada, UK and EU, KSA, and Asia-Pacific, and supports SMB as well as Enterprise clientele. Our services include Strategy and Governance, AI Data Readiness & AI Enablement, Observability, and Continuous Testing of AI systems. Mammoth-AI also offers targeted AI Products; no-code vibe development platform, domain-specific chatbots, brand ambassador channel selling, and an agentic straight-through test execution platform.

Who Is the Company Behind Mammoth-AI?

  • Seller: Mammoth-AI
  • Year Founded: 2018
  • HQ Location: Boynton Beach, US
  • LinkedIn® Page: www.linkedin.com
    124 employees on LinkedIn®

MapleIgnyte

We help small and mid-size enterprises adopt AI across their operations, from intelligent internal tools to fully automated workflows.

Who Is the Company Behind MapleIgnyte?

Margins

Margins helps mid-market and enterprise companies adopt AI - faster, safer, and without the complexity of traditional consulting. We combine AI strategy, custom AI solution development, and ready-to-use AI products to turn ideas into production-grade results in weeks, not years. Our team builds secure, enterprise-ready AI systems - from LLM applications and multi-agent orchestration to computer vision, RAG knowledge bases, and workflow automation across CRM, ERP, ITSM, and HRIS environments. Whether you’re defining your AI roadmap, launching your first production pilot, or scaling AI across your organization, Margins delivers the strategy, technology, and execution to make AI adoption practical and risk-free.

Who Is the Company Behind Margins?

  • Seller: Margins
  • Year Founded: 2017
  • HQ Location: Zagreb, HR
  • LinkedIn® Page: www.linkedin.com
    39 employees on LinkedIn®

Massivue

Massivue is a Singapore-based AI and enterprise transformation consultancy that pairs advisory work with accredited capability building. We help organisations move from AI pilots to operating change: transformation strategy, operating model and change management, AI adoption programmes, and governance for AI deployed in regulated environments. Through MASSIVUE Academy we deliver Micro-credentials and certification programmes spanning AI and business transformation, financial services, and sustainability and ESG, including programmes built to IBF standards for the Singapore financial sector. We work with financial institutions, enterprises and public sector organisations across Singapore and the wider Asia region.

Who Is the Company Behind Massivue?

  • Seller: Massivue
  • Year Founded: 2020
  • HQ Location: Singapore, SG
  • LinkedIn® Page: www.linkedin.com
    11 employees on LinkedIn®

MCycloid

mCycloid is a one-stop destination for all your AI needs. Better training data is the key to make machines more intelligent. We offer data collection and data labeling/annotation services for all types of AI applications and scientific systems.

Who Is the Company Behind MCycloid?

  • Seller: MCycloid
  • Year Founded: 2018
  • HQ Location: Bengaluru, IN
  • LinkedIn® Page: www.linkedin.com
    3 employees on LinkedIn®

MentorMate

Since 2001, we’ve blended strategic insights and thoughtful design with brilliant engineering to create durable technical solutions that deliver digital transformation at scale. With an unwavering commitment to open and transparent communication, we earned the trust of hundreds of companies worldwide to guide their vision, design innovative products, and deliver secure solutions. We’re invested in our clients’ business challenges and bring innovative ideas, approaching every project with a deep understanding of the specific nuances of their industry. After growing to five offices across Bulgaria, we expanded to Latin America to further serve our clients. Now, as part of Tietoevery Create, MentorMate combines the power of local presence with the expertise of over 10,000 team members to deliver digital transformation on a global scale. With delivery centers on three continents and our headquarters in Minneapolis, we ensure ease of delivery regardless of where our clients are located.

Average Rating: 3.0/5.0

Total Reviews: 1

Who Is the Company Behind MentorMate?

Who Uses This Product?

  • Company Size: 100% Small

What Are G2 Users Discussing About MentorMate?

Meridian Consensus

Decision-grade market research has historically been sold on an access window measured in weeks. The six-to-twelve-week waiting period was a structural artefact of distributed research teams, manual data collection, and typeset publication, a cost of operation, not a quality signal. The Meridian Consensus Framework was designed around the observation that the waiting period is no longer load-bearing. The methodology that produces a decision-grade market study, evidence assembly, triangulation, stress-testing, committee review, runs on a pipeline architecture that compresses the calendar while preserving every substantive quality gate. Figures clear the same framework. Readers simply receive the output on demand. Where traditional syndicated research costs $2,500 to $5,000 per report with six-to-twelve-week access windows, Meridian delivers equivalent depth instantly on demand for $799. Every figure traces back to its evidence path. Every report is signed off by an adversarial research committee. Every correction is dated and disclosed in place. Transparency, cadence, and price are positioned as deliberate choices rather than inherited constraints.

Who Is the Company Behind Meridian Consensus?

MetaSeries

MetaSeries builds AI employees for working businesses. An AI employee does work a person used to do, or work a person could never do, inside the workflows a team already runs. More output, less overhead. Every business is some arrangement of three atoms. Offer: what you sell, how you price it, how you position it. Leads: how prospects find you, get qualified, and move to conversation. Delivery: how you fulfill the promise once a customer says yes. We find the bottleneck atom and rebuild it with AI employees working alongside your team. An engagement starts with a free sixty minute discovery call where we map your tools, your people, your inputs and outputs. From there we scope, build, and ship. Then we maintain and expand the system as your business changes. A consultancy hands you a strategy document. An agency builds what you spec. We sell outcomes, measured in dollars in or dollars out. The deliverable is a working system in production, and it is yours. MetaSeries was founded by Nabil Irfan, a serial operator who has built, scaled, and exited companies and who runs a portfolio of ventures today. The work we bring to clients is the work we do inside our own businesses. Not theory. Actual mechanics. Built by operators. Paid on results.

Who Is the Company Behind MetaSeries?

MetaVis Technologies

MetaVis Technologies is now Quest Software, which modernize your infrastructure faster for the cloud, optimize the application experience and get control of every device that touches your network.

Who Is the Company Behind MetaVis Technologies?

  • Seller: Quest Software
  • Year Founded: 1987
  • HQ Location: Austin, TX
  • Twitter: @Quest
    17,109 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    3,569 employees on LinkedIn®
  • Ownership: NYSE: DGX

Mindfire Solutions

Mindfire Solutions is a software engineering and technology services company with over 25 years of experience helping software product companies, SaaS providers, startups, and enterprises build, modernize, and scale digital solutions. With a team of 650+ technology professionals and a track record of delivering 2,000+ projects for 500+ clients worldwide, Mindfire serves organizations across North America, Europe and Australia. We act as a trusted technology partner, supporting clients through every stage of the software lifecycle - from product ideation and architecture to development, quality assurance, deployment, and ongoing support. Why Organizations Choose Mindfire? - Proven Reliability: 25+ years of successful delivery and long-term client relationships. - Comprehensive Technology Expertise: End-to-end capabilities across software development, testing, cloud, AI/ML, data engineering, DevOps, Blockchain, and low-code platforms. - Flexible Engagement Models: Project-based delivery, dedicated engineering teams, and Offshore Development Centers (ODCs) tailored to business needs. - Strong IP Protection & Transparency: Robust security practices with 100% ownership of deliverables retained by clients. - Continuous Innovation: Ongoing investment in emerging technologies, engineering excellence, and workforce development.

Average Rating: 4.7/5.0

Total Reviews: 3

Who Is the Company Behind Mindfire Solutions?

Who Uses This Product?

  • Company Size: 33% Large, 33% Medium

What Are Recent G2 Reviews of Mindfire Solutions?

Tian Lin
TL
Researched and written by Tian Lin
Updated October 3, 2024