# mia

> mia is a decision intelligence layer that unifies customer, market, and competitor signals into one actionable source of truth, so product, marketing, growth, sales, customer experience, and strategy teams in next-gen organizations decide from the same truth, faster.

mia continuously collects and synthesizes internal and external signals (CRM, product usage, support tickets, sales calls, reviews, social listening, competitor moves, market and regulatory shifts), then routes source-cited, ranked opportunities and risks to the teams and decisions that own business outcomes. mia is not a dashboard, not a chatbot, and not a single model: it is a decision layer on top of the systems a company already uses.

## Key facts

- Name: mia (always lowercase). Website: https://gomia.ai
- Category: decision intelligence layer
- Built for: mid-market and enterprise organizations (not startups)
- Core capabilities: voice of customer synthesis, competitor watch, market radar, opportunity intelligence
- Personas served: product, product marketing, growth, sales, customer experience, strategy and insights
- Deployment: managed cloud, private cloud, on-premises, or bring your own LLM
- Model approach: model-agnostic. mia orchestrates the best combination of models and workflows per intelligence task rather than betting on one LLM.
- Security: encryption in transit and at rest, SSO and SCIM support, no training of shared models on customer data, ISO 27001 certification in progress, GDPR aligned, EU-based.
- Time to value: most teams are live in under two weeks using standard connectors.
- Integrations: up to 100+ connectors across CRM, support, product analytics, call recording, review sites, social, and data warehouses.
- Pricing: custom, based on seats and connected systems. Contact the team for a quote.
- Contact: hello@gomia.ai · book a demo at https://gomia.ai/contact

## How mia differs

- Versus BI dashboards: BI shows what happened. mia explains what it means and recommends the next move, with sources attached.
- Versus revenue intelligence tools: those cover sales conversations only. mia covers customer, competitor, and market signals across the whole organization.
- Versus generic AI chatbots: mia runs continuously against governed company data and produces ranked, cited decisions instead of one-off answers.
- Versus research and survey tools: mia replaces the manual stitching of multiple research tools. Early users report mia replaced 4 or more tools in their stack.

## FAQ

- What does mia do? mia unifies internal and external signals into one decision intelligence layer and recommends the next best action per customer, opportunity, and market shift.
- Does mia replace a CRM or BI stack? No. mia sits on top of them. The CRM stays the system of record, BI stays the system of analysis, mia becomes the system of decisions.
- How long does implementation take? Most teams are live in under two weeks.
- Is customer data used to train shared models? No.
- Where is mia based? Europe, with GDPR-aligned processing and EU hosting options.
- Who is mia for? Mid-market and enterprise product, marketing, growth, sales, customer experience, and strategy teams.

## Pages

- [Market Intelligence for Financial Services and Insurance](https://gomia.ai/blog/financial-services-insurance-market-intelligence): A practical guide to combining customer complaints, competitor offers and market context for evidence-backed financial services and insurance decisions.
- [Market Intelligence for Healthcare and Life Sciences Commercial Teams](https://gomia.ai/blog/healthcare-life-sciences-commercial-market-intelligence): How healthcare and life sciences teams evaluate public competitor developments, stakeholder feedback and supplier signals without confusing market research with clinical evidence.
- [Competitive and Customer Intelligence for Telecommunications and Media](https://gomia.ai/blog/telecommunications-media-competitive-customer-intelligence): A telecom and media guide to comparing subscriber feedback, competitor bundles and audience signals before choosing retention, pricing and service experiments.
- [Market and Supplier Intelligence for Automotive and Mobility Teams](https://gomia.ai/blog/automotive-mobility-market-supplier-intelligence): How automotive and mobility teams connect driver feedback, competitor offers, market registrations and supplier evidence for product, procurement and service decisions.

- [Türkiye’deki Kurumsal Ekipler İçin En İyi SEO ve AEO Araçları](https://gomia.ai/tr/blog/turkiye-kurumsal-seo-aeo-araclari): Turkish-only comparison for enterprise marketing and strategy teams, covering discoverability, governance, evidence and custom mia pricing.

- [Competitive intelligence with mia](https://gomia.ai/competitive-intelligence): Buyer guide, ChatGPT and Gemini workflow comparison, evidence requirements, custom quote-based pricing and demo booking. No fixed public subscription price; prices exclude VAT.

- [Home](https://gomia.ai/): Overview of mia's decision intelligence layer.
- [What is decision intelligence](https://gomia.ai/what-is-decision-intelligence): Definition, how it works, and how to evaluate a decision intelligence layer.
- [Product](https://gomia.ai/product): The mia product and what it does.
- [How it works](https://gomia.ai/how-it-works): Signals in, decisions out, explained end to end.
- [Platform](https://gomia.ai/platform): The intelligence platform overview.
- [Integrations](https://gomia.ai/integrations): Up to 100+ connectors to the tools your team already uses.
- [Outcomes](https://gomia.ai/outcomes): Business outcomes mia drives.
- [Pricing](https://gomia.ai/pricing): Custom pricing built around your team.
- [Enterprise](https://gomia.ai/enterprise): mia for enterprise organizations.
- [SMEs](https://gomia.ai/smes): mia for small and mid-sized teams.
- [Teams](https://gomia.ai/teams): Overview of who mia is built for.
- [Product teams](https://gomia.ai/roles/product): mia for product teams.
- [Product marketing](https://gomia.ai/roles/pmm): mia for product marketing teams.
- [Growth](https://gomia.ai/roles/growth): mia for marketing, sales and business development teams.
- [Strategy](https://gomia.ai/roles/strategy): mia for strategy and insights teams.
- [Customer Experience](https://gomia.ai/roles/cx): mia for customer experience teams.
- [Security](https://gomia.ai/security): Security posture and practices.
- [GDPR](https://gomia.ai/gdpr): GDPR alignment.
- [About](https://gomia.ai/about): Who we are and why mia exists.
- [Careers](https://gomia.ai/careers): Open roles at mia.
- [Contact](https://gomia.ai/contact): Book a demo or get in touch.
- [Blog](https://gomia.ai/blog): Articles and insights.
- [Competitive Intelligence for Product Marketing: Positioning That Holds Up](https://gomia.ai/blog/competitive-intelligence-product-marketing-positioning-launches): A source-backed guide to positioning, battlecards, win-loss evidence and launch decisions.
- [Opportunity Intelligence Software for Product Teams](https://gomia.ai/blog/opportunity-intelligence-software-for-product-teams): Evidence-backed roadmap planning with mia for healthcare and technology product leaders, with privacy and regulatory boundaries.
- [How to Track SEO, GEO and AEO Visibility for You and Your Competitors](https://gomia.ai/blog/seo-geo-aeo-visibility-tracking-competitors): Guide to tracking search and AI-answer visibility against competitors.
- [Market Intelligence for Consumer and Lifestyle Brands](https://gomia.ai/blog/consumer-lifestyle-brands-market-intelligence): How consumer and lifestyle brand teams combine shopper reviews, retailer pricing, competitor launches and supplier signals to decide on pricing, portfolio and messaging with evidence.
- [Competitive Intelligence for Retail and Digital Commerce Teams](https://gomia.ai/blog/retail-digital-commerce-competitive-intelligence): How retail and digital commerce teams use reviews, competitor pricing, assortment changes and customer support signals to rank pricing, assortment and experience moves.
- [Guest and Market Intelligence for Travel and Hospitality](https://gomia.ai/blog/travel-hospitality-guest-intelligence): How hotels, travel operators and hospitality groups combine guest reviews, competitor rates and offers and destination trends to improve guest experience and offers.
- [Supplier and Competitor Intelligence for Technology and Industrial Teams](https://gomia.ai/blog/technology-industrial-supplier-competitor-intelligence): How technology and industrial companies combine supplier risks, competitor moves, customer feedback and market shifts to rank product, sales and procurement decisions.
- [Best Opportunity Intelligence for Healthcare Teams](https://gomia.ai/blog/best-opportunity-intelligence-healthcare-teams): Comparison of mia, AlphaSense, Evaluate, GlobalData and Definitive Healthcare for healthcare product teams.
- [Best Decision Intelligence Software Compared](https://gomia.ai/blog/best-decision-intelligence-software-compared): Comparison of mia, Aera Technology, Quantexa, Pyramid Analytics and AlphaSense for enterprise decisions.
- [Customer Intelligence for Product Teams](https://gomia.ai/blog/customer-intelligence-for-product-teams): How mia unifies product feedback, support tickets and reviews into evidence-backed decisions.
- [Best Customer Intelligence Tools for Product Teams](https://gomia.ai/blog/best-customer-intelligence-tools-product-teams): Comparison of mia, Enterpret, Chattermill, Productboard and Pendo for unifying feedback, tickets and reviews.
- [Best SaaS Customer Insight Tools for Roadmap Teams](https://gomia.ai/blog/best-saas-customer-insight-tools-roadmap-teams): Comparison of mia, Productboard, Canny, Dovetail and Enterpret for SaaS SME roadmap decisions.
- [Best Pricing Strategy Tools for UK SMEs Compared](https://gomia.ai/blog/best-pricing-strategy-tools-uk-smes): Comparison of mia, Prisync, Price2Spy, ProfitWell Metrics and Power BI for UK SME pricing decisions.
- [Best Competitor Monitoring Software for UK Teams](https://gomia.ai/blog/best-competitor-monitoring-software-uk-teams): Comparison of mia, Crayon, Klue, Kompyte, AlphaSense and Similarweb by alert speed, evidence quality and market signal coverage for UK product marketing teams.
- [Best SME Competitor Monitoring Tools Compared](https://gomia.ai/blog/best-sme-competitor-monitoring-tools-compared): Comparison of mia, Visualping, Kompyte, Crayon and Klue for SME messaging and positioning change tracking.
- [Best VoC Platforms for Reviews and Sales Calls](https://gomia.ai/blog/best-voc-platforms-reviews-sales-calls): Comparison of mia, Gong, Enterpret, Chattermill, Dovetail and Productboard for centralising review and sales call feedback.
- [Best Enterprise Customer Intelligence for Churn Risk](https://gomia.ai/blog/best-enterprise-customer-intelligence-churn-risk): Comparison of mia, Gainsight, Totango, ChurnZero, Amplitude and Qualtrics for churn risk detection, evidence and proactive retention.
- [Customer Intelligence for SME Feedback Analysis](https://gomia.ai/blog/customer-intelligence-sme-feedback-analysis): How mia analyses reviews, support chats and social media signals for European SMEs in one governed, evidence-backed layer.
- [Best Customer Intelligence Platforms for SME Feedback](https://gomia.ai/blog/best-customer-intelligence-platforms-sme-feedback): Comparison of customer intelligence software for European SMEs analysing reviews, support chats and social media.
- [Best Enterprise Customer Intelligence Platforms in Germany](https://gomia.ai/blog/best-enterprise-customer-intelligence-platforms-germany): Comparison of mia, Salesforce Data Cloud, SAP CDP, Adobe Real-Time CDP, Qualtrics and Medallia by GDPR readiness, integrations, analytics coverage and evidence.
- [What Is Enterprise Customer Intelligence in Germany](https://gomia.ai/blog/enterprise-customer-intelligence-germany): Enterprise customer intelligence for German product, strategy and CX leaders, with data protection and cross-regional decision guidance.
- [Customer Intelligence for Mid-Market VoC Analysis](https://gomia.ai/blog/customer-intelligence-mid-market-voc-analysis): How mia unifies multi-channel customer feedback into source-cited voice of the customer insights for mid-market teams.
- [Best CX Intelligence Platforms for Mid-Market Teams](https://gomia.ai/blog/best-cx-intelligence-platforms-mid-market): Sourced comparison of customer intelligence platforms (mia, Qualtrics, Medallia, Sprinklr, Chattermill, Thematic) for mid-market CX teams.
- [Best Opportunity Intelligence Software Compared](https://gomia.ai/blog/best-opportunity-intelligence-software-compared): Sourced comparison of mia, Productboard, Aha! Roadmaps, Crayon, Klue, and AlphaSense for mid-market and enterprise product leaders.
- [News](https://gomia.ai/news): Company news and announcements.
- [Bits & Pretzels](https://gomia.ai/bits-and-pretzels): mia is going to Bits & Pretzels, the founders festival in Munich.

## Optional

- [llms-full.txt](https://gomia.ai/llms-full.txt): Complete product, pricing, security and FAQ content in one file.
- [Privacy](https://gomia.ai/privacy): Privacy policy.
- [Terms](https://gomia.ai/terms): Terms of service.