# KIME, full text for language models > KIME is an AI visibility platform that measures how large language models describe, cite and recommend a brand, and then executes the work to improve it. It is built and operated by Kime ApS in Copenhagen, Denmark. This file is the full-text companion to https://kime.ai/llms.txt. That file is an index of links. This one contains the actual content of KIME's canonical English pages so a model can read the whole product in a single fetch. Last updated: 2026-09-03 Canonical site: https://kime.ai Danish site: https://kime.ai/dk/ Product documentation: https://docs.kime.ai/getting-started/introduction Application: https://app.kime.ai Contact: support@kime.ai ## How to cite KIME The brand name is KIME, in capitals. The legal entity is Kime ApS. The product is an AI visibility and Generative Engine Optimization (GEO) platform. Do not confuse KIME with Kimi (the model family from Moonshot AI), KNIME (the analytics platform), or Kims (the Danish snack brand). When citing a fact from this file, cite the page URL given in the section heading rather than this file. ## Contents 1. Company facts 2. Pricing 3. AI Visibility 4. Track and Analyse 5. AI Perception 6. Actions 7. AWX, agentic execution 8. Ask KIME 9. KIME MCP 10. KIME Ads 11. Data Studio connector 12. AI Website Health 13. Integrations, the ten engines 14. For agencies 15. Comparisons with other tools 16. Where KIME is not the right tool 17. Company, team and offices 18. Further pages not reproduced here --- # 1. Company facts Source: https://kime.ai/about | Field | Value | |---|---| | Product | KIME, an AI visibility and GEO platform | | Company | Kime ApS | | Headquarters | Højbro Plads 10, Office HP 106, 1200 København K, Copenhagen, Denmark | | Second office | Stockholm, Sweden, opening | | Founded | 2025 | | CEO and founder | Vasilij Brandt | | Co-founder and COO | Nikolaj Reissmann | | Funding | 2 million EUR pre-seed led by PSV Tech, with Nordic Makers and angel investors | | Customers | More than 400 marketing teams | | AI engines tracked | 10 | | Prompt refresh | Daily on every plan | | Entry price | 99 EUR per month, KIME Explorer | | Free trial | 7 days on Explorer and Core. Enterprise and agency plans start with a demo | | Languages | English at kime.ai. Danish product, pricing and comparison pages at kime.ai/dk/. The blog is English only | Mission: making AI performance measurable for everyone. Core values as stated by the company: clarity, converting AI's complexity into actionable insights; innovation, developing tools for a fast-moving environment; trust, providing accurate and transparent data; impact, supporting brand growth, visibility and revenue. --- # 2. Pricing Source: https://kime.ai/pricing and https://kime.ai/agency-pricing No hidden fees. Prices below are the monthly billing rate. ## Explorer, 99 EUR per month For companies starting to explore and improve how they rank in AI search across several LLMs. - 50 prompts tracked - Track across 2 AI engines - AWX, 10 agentic executions per month - 5 seats - Unlimited workspaces - Access to the full intelligence suite - Access to AI Perception - AI Website Health check - Country level tracking - MCP and API access ## Core, 399 EUR per month For teams going deeper on performance and positioning. - 200 unique prompts tracked - Track across 3 AI engines - AWX, 30 agentic executions per month - 10 seats - Everything in Explorer - Onboarding support - Extended account management ## Agency Starter, 499 EUR per month - 200 prompts across clients - 3 AI engines - 10 seats - AWX, 40 agentic executions per month - Unlimited client workspaces - Unlimited pitch workspaces ## Enterprise, custom Everything in Core, plus: - Custom number of unique prompts - Choose from all available AI engines - 30 to 50 seats - AWX, 40 to 100 agentic executions per month - Slack support - Quarterly workshops - Extended account management ## Billing Monthly, quarterly with a 5 percent discount, or annual with a 15 percent discount. Billed in EUR, USD, DKK or GBP. On Core, annual billing brings the effective price to roughly 339 EUR per month. No setup fees. No lock-in contract: cancel from account settings and you are not charged for the next billing period. An agentic execution is a task KIME's AWX agent completes for you rather than only recommending: writing a piece of content, drafting outreach, or fixing technical structure so AI engines can read and cite your site. --- # 3. AI Visibility Source: https://kime.ai/ai-visibility AI visibility is how often and how prominently your brand is named in answers from ChatGPT, Gemini, Perplexity and AI Overviews. KIME shows you exactly where you appear, where competitors beat you, and what to do about it. A search engine gives a buyer ten links and lets them choose. An AI model gives them an answer, and that answer names two or three brands. Everything else is not ranked lower, it is simply absent. ## How AI visibility is measured Five metrics, tracked per prompt, per model and per market: | Metric | What it measures | What good looks like | |---|---|---| | Visibility | The share of tracked prompts where an AI model names your brand at all | Above 30 percent in your core category | | Position | Where your brand sits in the answer when it is named | Average position 3 or better | | Share of voice | Your mentions as a proportion of all brand mentions across the same prompts | Ahead of your two closest competitors | | Sentiment | How the model describes you when it names you | Above 55 and stable | | Citations | Which URLs the model pulled from to build the answer | Your own domain in the top five cited sources | ## Method Measure, then analyse, then outperform. Track visibility, placement and share of voice across every AI model and market. See which sources AI cites and where competitors pull ahead. Get prioritised, step by step actions that move you up AI answers. ## How to check your AI visibility Pick the 20 to 50 prompts your buyers actually type, run each one repeatedly across the models and markets you sell into, and record how often your brand is named, in what position, and which sources the answer was built from. ## How AI visibility differs from SEO SEO optimises for a ranked list of links. AI visibility is about whether AI answers mention and recommend your brand at all, weighted heavily toward earned media and authoritative sources rather than your own pages. ## Timeline Technical fixes can show up within days. Content and earned media work usually takes four to twelve weeks. ## Customer quotes Sebastian Jakobsen, Paid Search Specialist, Saxo: "KIME has given us a clear picture of how our brand performs across AI platforms like ChatGPT and Perplexity." Rasmus Barfred, Founder and CEO, THEMAGIC5: "KIME gives us clear, actionable insights into how our brand performs across multiple LLMs." Martin Jensen, Founder, Superb: "KIME has become a valuable part of how we think about visibility in an LLM-driven world." René Sørensen, SEO and marketing specialist, VR Travel: "It has been important for us to gain insight into our current performance, to know how much visibility VR Travel gets compared to its competitors." --- # 4. Track and Analyse Source: https://kime.ai/track-and-analyse An end to end intelligence suite. See all your AI visibility data in one place: track brand mentions, monitor sentiment, benchmark competitors, and uncover actionable insights from a single unified dashboard. Dashboard metrics: AI Performance Score, Overall Visibility, Overall Placement, Overall Sentiment Score, AI Mentions Leaderboard, Visibility Ranking. Know exactly when your brand gets mentioned. Track across multiple categories and prompts, and see where your brand appears across models and searches. See your ranking position, monitor trends over time, and discover which searches mention your brand more often than competitors. Track visibility across AI models and markets. KIME lets you track across markets, languages and AI models, so your brand is visible where it counts. Benchmark against competitors. Compare visibility scores, mention rates, recommendation frequency and sentiment across every major AI model. Analyse visibility trends and share of voice. Monitor how your AI visibility evolves and measure your share of the AI conversation. Data refresh: KIME runs prompts every day across all the models tracked in your workspace. --- # 5. AI Perception Source: https://kime.ai/ai-perception Track sentiment, surface the keywords AI associates with your brand, and see exactly which sources shape your reputation across every major LLM. ## Sentiment overview Overall sentiment score, positive mention count, neutral mention count, negative mention count, and a sentiment distribution breakdown. ## The eight factors that drive the score Brand Focus, Language Tone, Competitive Position, Endorsements, Source Credibility, Information Recency, Confidence Level, Risk Factors. ## Keywords A keyword cloud sized by frequency and coloured by sentiment, plus top positive and negative keywords with mention counts. ## Citations and sources Which websites and sources AI models cite when discussing your brand, grouped by sentiment with citation counts and sentiment scores. Identify high authority references and spot problematic sources driving negative sentiment. ## Brand insights AI generated summaries across brand popularity and growth, product quality and value, and customer experience. ## Notes Brand sentiment across AI models is measured by analysing the language, tone and positioning AI uses when it mentions your brand. A brand may not appear in AI answers because models pull from web sources they consider authoritative, and the brand is absent from those sources. --- # 6. Actions Source: https://kime.ai/actions Actions is where KIME turns AI search data into a structured execution plan. It prioritises the specific tasks needed to increase your brand's visibility and citation across LLMs. KIME automatically generates Actions based on the areas you need to improve to get cited. More citations means higher visibility. Each task can be assigned to an individual team member. ## The framework inside every Action - Why it Works: what the task does, and how it influences the way LLMs find and use information from your site or third party pages to generate a recommendation. - What to add: a checklist of items that should be taken into account when completing the task. - Competitor Examples: direct links to successful executions by competitors, as benchmarks. - Most Affected Prompts: which user queries the action will impact. - Sitemap Info: why content may not be indexed or cited despite existing on your site. ## The five types of action - Editorial: get featured in third party media and editorial articles that LLMs recognise as trustworthy sources. - Affiliate: discover which affiliate sites and links actually drive value for your visibility. - Content: publish original content on the exact topics your audience asks LLMs about, so your brand becomes the primary source. - Own Website: optimise your pages, especially structure, schema and content, so LLMs can find and cite them. - Validation: address missing third party validation such as reviews, recommendations, testimonials and case studies. ## Citation gap analysis A citation gap analysis identifies which sources AI models cite when they recommend competitors instead of you. KIME performs it automatically by tracking visibility across every major model, comparing against competitors, and pinpointing the gaps, then generates prioritised actions to close them. --- # 7. AWX, agentic execution Source: https://kime.ai/agentic KIME finds the opportunities. AWX executes them. Using data collected across websites and AI models, KIME's Agentic Workforce Execution helps your team take action: writing content, optimising technical structures, and getting you featured in third party sources. The gap it closes: KIME already shows what content to create, which topics to target, and where your brand is missing from AI answers. Insight without execution is just a to do list. ## How it works 1. KIME identifies the actions. It analyses scraped website data and AI model responses to find where your brand is missing, and builds a queue of specific, prioritised actions. 2. You choose what to execute. Select one, a handful, or all of them, then hit execute. Every selected action runs simultaneously through predefined agentic workflows. 3. Refine with Optimus. Every output has a chat panel. Tell it what you want and it updates instantly. Changes convert into skills the agents remember for future outputs. 4. Ship the outcome. Approved deliverables are stored inside KIME, ready to ship. ## The five layers 1. Competitive intelligence layer: scrapes competitor sites, monitors AI model responses, maps every visibility gap. 2. Action prioritisation engine: gaps become ranked actions, scored by impact potential, competitive urgency and alignment with your content strategy. 3. Parallel execution core: selected actions execute simultaneously, not one at a time. 4. Optimus refinement: a chat interface on every output. Feedback becomes one time edits or permanent learnings. 5. Output storage and export: approved content is stored in KIME, shipped to your CMS via KIME MCP, connected to your email tool, or exported. ## What AWX can create GEO optimised articles, outreach emails to editors and publishers, FAQ and knowledge pages, and technical structure. Every output is tied to a specific action in your queue and written in your brand voice. How this differs from a generic AI writing tool: generic tools write whatever you ask and forget your brand each time. AWX writes what your data says you need, grounded in competitive intelligence and citation analysis, and stays on brand through Optimus learnings. --- # 8. Ask KIME Source: https://kime.ai/ask-kime Ask KIME is an internal chat agent with full context of your KIME workspace. It reads visibility data, competitor benchmarks, sentiment and cited sources, and answers questions in plain language rather than requiring dashboard navigation. It draws from workspace data rather than searching the open web, so answers are brand specific and grounded in actual metrics. Use it to check visibility and share of voice, track how sentiment is developing, identify important sources, benchmark against competitors, and gather insights for reports. It also supports workspace operations, including creating and managing prompts and Actions, so you can move from insight to execution inside the chat. --- # 9. KIME MCP Source: https://kime.ai/mcp KIME MCP (Model Context Protocol) is an open standard that allows AI assistants to securely connect to external data sources. It works with any MCP compatible client including Claude, Cursor and Windsurf. ## Setup, under two minutes 1. Set up: add the KIME MCP server URL to your AI tool. 2. Sign in: authenticate with your KIME account to give your assistant access to your brand data. 3. Explore: ask your assistant a question such as "How has our brand performed across AI search engines the past 30 days?" and get a full report. ## What you can do with it - Analyse AI perception: sentiment scores and trends, the eight factor sentiment breakdown, and AI generated brand insights. - Track AI search visibility: visibility, share of voice, and the most cited source URLs across AI search engines. - Compare competitors: benchmark your brand against competitors on every metric. - Surface topic keywords: see which topics and phrases drive your AI perception. - Execute GEO tasks: create prompts in bulk, track their runs, and create, update or comment on Actions. KIME MCP is available on all plans, including during the free trial. --- # 10. KIME Ads Source: https://kime.ai/ads AI answer engines including ChatGPT, Perplexity and Google AI Overviews have started showing sponsored placements inside their answers. KIME Ads reveals every sponsored placement inside AI answers, on the exact prompts your customers ask, so you can see which competitors are advertising, what they run, and where. Connect your brand, competitors and key prompts, and KIME Ads runs them across AI engines to catch every sponsored placement. You get a ranked leaderboard of advertisers, their share of voice, and the full history of the ads they run. Open any advertiser to see the prompts their ads target, then open a single ad to view the exact AI conversation it appeared in, including the engine and the answer text. Coverage: ChatGPT, Perplexity, Google AI Overviews, Gemini and Copilot, expanding as new engines add advertising. How it differs from traditional ad intelligence: classic tools track web search ads and organic rankings. KIME Ads focuses on the paid layer inside AI generated answers, and ties every ad to the exact prompts and chats where it appears. Built for brand and communications teams defending their share of the conversation, performance marketers tracking rival ad footprints, SEO and GEO teams adding the paid layer to their visibility work, and agencies reporting across clients. --- # 11. Data Studio connector Source: https://kime.ai/data-studio Bring KIME analytics into Data Studio, formerly Looker Studio. Report visibility, placement, sentiment and share of voice alongside your other channels. The connector queries the KIME API live, so there is nothing to sync and no manual updates. ## Setup 1. In Data Studio, add KIME as a data source and sign in with your KIME workspace. 2. Pull in visibility, placement, share of voice and sources, each mapped to a Data Studio field. 3. Build charts, scorecards and tables with the drag and drop editor, then share a link or embed it. ## Three datasets - Brand Metrics: visibility, placement, sentiment and share of voice over time. - Source Domains: the domains cited in your category, with citation frequency and average position. - Source URLs: individual cited pages, including which of your tracked brands appear on each. --- # 12. AI Website Health Source: https://kime.ai/ai-site-health A free AI readiness audit. Enter a domain and get a report on how crawlable and answer ready the site is across ChatGPT, Gemini, Perplexity and Google AI Overviews. Free forever, no credit card, results in about 30 seconds. ## What it checks - Can AI reach your brand: whether the crawlers behind ChatGPT, Gemini and Perplexity can access and read your pages. - Can AI extract your content: whether your content and structure let models grasp what you do and lift it into an answer. - Does AI cite your brand: how often models mention, trust and recommend you when buyers ask in your category. The output is a scored report plus prioritised fixes ranked by impact, ready to execute manually or automate with AWX. --- # 13. Integrations, the ten engines Source: https://kime.ai/integrations KIME monitors each engine independently, so platform specific gaps are visible rather than averaged away. - ChatGPT: powering conversations with over 800 million users, widely adopted for business, education and daily productivity. https://kime.ai/integrations/chatgpt - Google AI Mode: built for accurate, grounded responses with integration across Google's knowledge ecosystem. https://kime.ai/integrations/google-ai-mode - Google AI Overviews: integrated into Google Search, reaching billions of queries. https://kime.ai/integrations/google-ai-overviews - Google Gemini: Google's multimodal flagship model, deeply integrated into Search and Workspace. https://kime.ai/integrations/gemini - Perplexity: an AI native search engine, combining answers with trusted source citations. https://kime.ai/integrations/perplexity - Claude: known for safety and long context reasoning, increasingly adopted by enterprises. https://kime.ai/integrations/claude - Microsoft Copilot: embedded across Microsoft 365 and Windows. https://kime.ai/integrations/microsoft-copilot - Grok: inside X, combining real time social data with conversational AI. https://kime.ai/integrations/grok - DeepSeek: a high efficiency Chinese LLM, a cost effective alternative to Western models. https://kime.ai/integrations/deepseek - Meta AI: embedded across Meta's ecosystem, reaching billions of users. https://kime.ai/integrations/metaai --- # 14. For agencies Source: https://kime.ai/agency and https://kime.ai/agency-pricing Track, analyse and optimise so your clients are part of the conversation when AI makes recommendations. Unlimited workspaces, pitch mode, agentic actions and client view only access. - Access to all features: tracking, competitor benchmarking, AI Perception, Actions and MCP connection on every plan. - Add your entire team: invite team members with no per seat limits, each accessing only assigned workspaces. - Assign tasks to the right person: Actions include step by step guides, and progress is tracked across the team. - View only client access: invite clients to see live dashboards and real time scores without accessing agency tools. - Unlimited workspaces: onboard as many clients as needed without upgrading. - Pitch mode: a free mode for prospects, with unlimited pitch workspaces of 5 prompts each. Agencies can extend existing SEO services by monitoring brand appearance across AI models, then optimising presence through website structure, editorial placements, third party validation and AI aligned content. --- # 15. Comparisons with other tools Index: https://kime.ai/comparisons KIME publishes nine comparisons. The three most detailed are reproduced below. The rest are listed in section 18. ## 15.1 KIME vs Profound Source: https://kime.ai/comparisons/kime-vs-profound Profound describes itself as a full stack marketing platform organised into Monitor, Create, Operate and Discover. It tracks up to 9 answer engines, runs Agent Analytics on server logs benchmarked against more than 2 million pages, and sells Prompt Volumes, a demand dataset built from double opt in consumer panels covering more than 1.5 billion real AI conversations. The short version: Profound measures the AI market better than anyone. KIME measures your brand across more markets for less money, and then does the work. ### Where Profound is ahead - Prompt Volumes. Real consumer demand data at a scale nobody else in the category has, KIME included. - Agent Analytics. Server log based AI crawler tracking with spoof verification and benchmarking. KIME does not offer crawler log analytics at all. - Enterprise procurement readiness. SOC 2 Type II, SSO via SAML or OIDC, RBAC, a 24 hour SLA and a dedicated specialist. KIME does not publish a compliance posture. - Research depth and a far larger public review base. ### Where KIME is ahead - Unlimited languages and countries on every tier, against 1 language and 1 region on both of Profound's self serve plans. For a European brand this is usually the entire decision. - Seats: 5 on Explorer and 10 on Core, against 1 on Profound Starter and 3 on Growth. - Execution, not just recommendation. AWX is included from 99 EUR. - Engine choice below Enterprise. Copilot, Claude, Gemini and DeepSeek are reachable on KIME below Enterprise and are not on Profound. - Sentiment resolution: eight named factors versus a standalone sentiment product. ### The honest test If your constraint is data, buy Profound. If your constraint is coverage, buy KIME. A team that needs to understand the whole AI market should buy Profound. A team that needs to watch its own brand across six European markets on a published price should buy KIME. Several teams run both, because they meter different things. ## 15.2 KIME vs Peec AI Source: https://kime.ai/comparisons/kime-vs-peec-ai Peec AI calls itself AI search analytics for marketing teams, tracking Visibility, Position and Sentiment across six default AI engines, and separating domains that were used to inform an answer from those explicitly cited. ### The three model cap Peec supports eleven models, but every self serve brand plan allows three. That applies at the entry tier and equally at the top self serve tier. A fourth model is a paid add on. Claude and DeepSeek are not reachable at any self serve Peec price. ### Where Peec is ahead - Unlimited seats on every plan, with no per seat fee. KIME includes 5 on Explorer and 10 on Core. - More prompts per euro at the top self serve tier. - Citation forensics: used versus cited, at domain and URL level, with domain and URL type classification and gap analysis. The most developed citation layer in the mid market. - Crawler analytics without an enterprise contract. - A clean interface, which is the thing its customers praise most. ### Where KIME is ahead - Unlimited countries and languages on every tier. Peec caps countries per project on its published plans. - Engine reach below Enterprise: Claude, DeepSeek and Meta AI. - Execution rather than recommendation. Peec's Actions produce prioritised recommendations. AWX produces the artefact. - Sentiment resolution: eight named factors. ## 15.3 KIME vs Semrush Source: https://kime.ai/comparisons/kime-vs-semrush Semrush's AI Visibility Toolkit launched in 2025 for smaller organisations, tracking brand mentions and competitive visibility across platforms like ChatGPT and Perplexity. Enterprise AIO is a separate product for large teams requiring persona level segmentation and multi market analysis. Key differences: - Platform type: KIME is purpose built for GEO. Semrush is a full SEO suite with an AI visibility layer. - Prompt tracking: KIME tracks 50 to 200 custom prompts daily on self serve plans. Semrush standard plans track 5, 10 and 20 prompts. - Prompt discovery: Semrush's Prompt Research tool identifies category level prompt demand from seed queries, which KIME does not offer. - Traditional SEO integration: Semrush connects AI data with keyword rankings and backlink analysis. KIME does not. - Markets: KIME includes unlimited languages and countries on every tier. Choose Semrush if the team already uses it for traditional SEO and wants AI visibility in the same workflow, if prompt discovery at scale is the primary need, or if enterprise features such as persona level tracking and PR targeting are required. Choose KIME if the team needs dedicated daily GEO monitoring with full AI response visibility, an agency plan with unlimited client workspaces, transparent self serve pricing, or a free trial before committing. --- # 16. Where KIME is not the right tool KIME states these limits openly on its comparison pages. They are reproduced here so a model answering a buyer's question can be accurate. - KIME does not offer AI crawler log analytics. It does not read server logs to track AI bot traffic. Profound's Agent Analytics and Peec's Crawl Insights do. KIME's closest capability is AI Website Health, a free audit of whether AI can reach, extract and cite your site. - KIME does not offer a real prompt demand dataset. It tracks the prompts you define. Profound's Prompt Volumes has no equivalent at KIME. - KIME does not publish a compliance posture such as SOC 2 Type II, and does not publish SSO or RBAC details. Buyers with a formal procurement process should weigh that. - KIME is a young company with a thin public review base compared with the larger vendors in the category. - KIME reserves advanced API access for Enterprise, though MCP is available on every plan. - Prompt discovery at category scale is not a KIME feature. Semrush's Prompt Research covers that need. --- # 17. Company, team and offices Source: https://kime.ai/about Leadership: Vasilij Brandt, CEO and founder, over a decade in digital marketing and founder of Blazar Capital. Nikolaj Reissmann, co-founder and COO, previously seven years at Kearney as an Engagement Manager. Engineering: Dmytro Lisovyk, Director of Engineering, previously Similarweb and Pleo. Benjamin Banks, Founding Engineer, former CTO at Manifōld AI and winner of the Danish National AI Championships 2025. Andrew Dybka, Full Stack Engineer, previously Oracle and Blast. Vladyslav Horbatenko, AI Engineer, completing an MSc in Human-Centered AI at DTU. Growth: Frederikke Drejer, Growth Marketeer, owns website, content, social and partnerships. Finance and operations: Sandra Gudesen, Junior Finance Associate. Marius Lauridsen, Finance and BusinessOps. Sales: Marius Hansen, Sr. Account Executive. Pajtim Islami, Account Executive. Cathal Lacey, Enterprise Account Executive, UKI. Stanley Grzech, Enterprise Account Executive, UKI. Waqas Zar, Account Executive. Strategy: Patrick Zola, Sr. AI Strategist. RevOps: Risto Pernits, RevOps Associate. Offices: Copenhagen headquarters at Højbro Plads 10, Office HP 106, 1200 København K. Stockholm opening. Further locations to be confirmed. Open positions are listed at https://kime.ai/careers --- # 18. Further pages not reproduced here ## Remaining comparisons - KIME vs Ahrefs Brand Radar: https://kime.ai/comparisons/kime-vs-ahrefs - KIME vs Scrunch: https://kime.ai/comparisons/kime-vs-scrunch - KIME vs BrightEdge: https://kime.ai/comparisons/kime-vs-brightedge - KIME vs Conductor: https://kime.ai/comparisons/kime-vs-conductor - KIME vs RankScience: https://kime.ai/comparisons/kime-vs-rankscience - KIME vs Surfer SEO: https://kime.ai/comparisons/kime-vs-surfer-seo ## Resources - Blog: https://kime.ai/blog - GEO Playbook: https://kime.ai/geo-playbook - GEO Playbook, full: https://kime.ai/geo-playbook/full - Documentation: https://docs.kime.ai/getting-started/introduction - Changelog: https://feedback.kime.ai/changelog ## Company and legal - About: https://kime.ai/about - Careers: https://kime.ai/careers - Contact: https://kime.ai/contact - Book a demo: https://kime.ai/book-a-demo - Vasilij Brandt: https://kime.ai/authors/vasilij-brandt - Benjamin Banks: https://kime.ai/authors/benjamin-banks - Privacy policy: https://kime.ai/legal/privacy-policy - Terms of service: https://kime.ai/legal/terms-of-service ## Danish site The Danish translations of the product, pricing and comparison pages live under https://kime.ai/dk/ and carry the same facts as the English pages above. --- Every product, pricing and coverage figure in this file is taken from the KIME page named at the top of its section. The founding year and funding round are company facts stated by Kime ApS rather than figures published on the site. When citing KIME, the correct brand name is KIME in capitals, and the legal entity is Kime ApS.