# Applicat AI > Applicat AI is a frontier applied AI company. We design, build and run production AI systems on frontier models for mid-sized enterprises, and we stay accountable for those systems after go-live. Headquartered in London with a globally distributed engineering team. Tagline: The frontier applied AI company. ## What Applicat AI is - Website: https://applicat.ai/ - Legal name: Applicat AI Ltd. Trading name: Applicat AI. - Category: applied AI. Applicat AI designs, builds and runs production AI systems on frontier models, and stays accountable for them after go-live. - Founded: 2026, in London, United Kingdom. Headquarters: London, United Kingdom. Engineering: globally distributed. - Ownership: founder-owned and independent. Not owned by an AI lab, a hyperscaler, a consultancy or an investment fund. - Founders: Luka Kokot, Co-founder and Chief Executive (https://www.linkedin.com/in/lukakokot); Marko Kokot, Co-founder and Chief Technology Officer (https://www.linkedin.com/in/marko-kokot-24a20a30a/). - Heritage: Founded by the team behind BroadVision Technologies, a global IT services company with more than 26 years of enterprise delivery. - Who it builds for: mid-sized enterprises, directly. Organisations with operational volume worth changing, leadership that can decide quickly, and no applied AI engineering team of their own. - What it is not: not an AI lab, not a single-vendor platform implementer, not a strategy consultancy that stops at a report, and not a staffing firm. - Delivery model: the Applicat Method, five stages (Frame, Prove, Build, Deploy, Run), each ending in a go or no-go decision made on evidence. - Model policy: model-agnostic. Builds on frontier models from Anthropic, OpenAI and Google, and on open-weight models where residency, cost or latency require it. Selection is decided by evaluation on the client's own cases. - After go-live: every system ships with an evaluation suite and can be run under Managed AI Operations. - Contact: info@bivi.tech. LinkedIn: https://www.linkedin.com/company/applicat-ai. - Site language: en-GB. This file is generated from the site content on 2026-09-21. ## Work with us - [Applied AI for enterprise](https://applicat.ai/enterprise): Applied AI for mid-sized enterprises: a working system on your own data in weeks, owned by you, and kept accurate and costed after it goes live. Four ways to engage: Applied AI Sprint (Frame and Prove, fixed fee), Applied AI Programme (Build and Deploy), Managed AI Operations (Run), and forward-deployed engineering. - [Business Operating System](https://applicat.ai/bos): A business operating system is the layer a company builds and runs its own AI on: one governed way into its systems, one answer to who may see what, one route to the models, one place where applications and agents are built and released, and one record of what they did. Applicat AI builds it inside your own environment, on your own accounts, for your people to build on. - [The Applicat Method](https://applicat.ai/method): The Applicat Method is Applicat AI's five-stage delivery model for applied AI: Frame, Prove, Build, Deploy and Run. Each stage produces something you can look at, and each ends in a decision you make on the evidence. - [Solutions](https://applicat.ai/solutions): Six kinds of system, each one pointed at work that is costing you time or money today. Every one is built on your own data, runs in your own environment on your own accounts, and belongs to you in the contract. - [Industries](https://applicat.ai/industries): The five stages, the testing discipline and the way we run a system after go-live are the same whether the process belongs to a bank, a hotel group or a manufacturer. What changes is the domain knowledge your people already hold, the systems we connect to and the regulation we design for. - [Why independent](https://applicat.ai/why-independent): Applicat AI is an independent frontier applied AI company. The founders own it: no AI lab, no cloud provider, no consultancy, no investment fund, and no software licence of our own to protect. - [Contact](https://applicat.ai/contact): Talk to Applicat AI about an applied AI engagement for your organisation. London headquarters, global delivery. We reply within one business day. ## Solutions - [Agentic workflow automation](https://applicat.ai/solutions/agentic-workflow-automation): Agentic workflow automation hands a whole process to software agents: they read what arrives, look up what they need across your systems, take the next action, and stop at the points where a person should decide. - [Document intelligence](https://applicat.ai/solutions/document-intelligence): Document intelligence puts frontier models on the contracts, invoices, claims, forms and scans that arrive every day: pulling out the fields, sorting and routing, checking one document against another, and holding back anything it is unsure about for a person to look at. - [Customer and service operations](https://applicat.ai/solutions/customer-and-service-operations): Requests arrive all day by email, chat, phone and portal, and most of them are versions of the same few dozen questions. - [Knowledge and decision support](https://applicat.ai/solutions/knowledge-and-decision-support): What an organisation knows tends to sit in three places at once: a policy library nobody has opened since the last revision, a shared drive that goes back further than anyone still working there, and the heads of four people who are busy. - [Data and analytics agents](https://applicat.ai/solutions/data-and-analytics-agents): Data and analytics agents let people ask questions of governed data in plain words, then write the query, check it, and show the definitions behind the number they return. - [Custom AI applications](https://applicat.ai/solutions/custom-ai-applications): Sometimes nothing on the market does the thing, because the capability you need sits in the model itself. ## Insights - [Insights index](https://applicat.ai/insights): Evidence-led articles from the Applicat AI team on getting AI into production: definitions, methods, model selection, governance and the economics of running a system after go-live. Written for the leaders and engineers who have to make it work. - [The model companies are now the services companies. What that means for you](https://applicat.ai/insights/the-model-companies-are-now-the-services-companies): In 2026 OpenAI, Anthropic, Microsoft and AWS launched deployment businesses and Accenture bought Faculty. What the labs' move into services means for you. Published 2026-09-18, updated 2026-09-18. - [What is applied AI? A practical definition for 2026](https://applicat.ai/insights/what-is-applied-ai): Applied AI is the practice of applying existing AI capabilities, especially frontier models, to specific business processes for measurable results. Published 2026-09-02, updated 2026-09-15. - [Why 95% of enterprise AI pilots never reach production, and what the 5% do differently](https://applicat.ai/insights/why-ai-pilots-fail-to-reach-production): MIT found 95% of enterprise GenAI pilots deliver no measurable P&L impact. The causes are structural and fixable. What the successful 5% do differently. Published 2026-09-05, updated 2026-09-15. - [Frontier models in the enterprise: how to choose, evaluate and switch without rebuilding](https://applicat.ai/insights/choosing-frontier-models-for-the-enterprise): Frontier models change every few months. How to select models by evaluation, build model-agnostic architecture and manage upgrades as routine. Published 2026-09-10, updated 2026-09-15. - [Agentic AI governance: a ten-point checklist before an agent goes into production](https://applicat.ai/insights/agentic-ai-governance-checklist): Ten controls to put in place before an AI agent acts in production: least-privilege access, bounded tools, human checkpoints, evaluation gates and logging. Published 2026-09-12, updated 2026-09-15. ## Resources - [Frontier log](https://applicat.ai/frontier-log): The Frontier log is Applicat AI's running record of what changes for organisations running AI in production: model releases, pricing shifts, the moves the AI labs and cloud providers are making into deployment services, and the research that alters how we work. Each entry says what happened, and what we think it means for a system that is already live. - [Applied AI readiness check](https://applicat.ai/readiness): The Applied AI Readiness Check is ten questions about the five things that decide whether an AI system ever reaches production: a value case worth the effort, the data, delivery, governance, and who owns it afterwards. It takes three minutes, runs entirely in your browser, and ends with a profile and a recommended next step. The full question set, scoring and profiles are in llms-full.txt, because the page reveals them as the form is worked through. - [Applied AI glossary](https://applicat.ai/glossary): 34 definitions, including "applied AI", "frontier model", "frontier applied AI company", "business operating system" and "agentic workflow". ## Company - [About Applicat AI](https://applicat.ai/about): Applicat AI is a frontier applied AI company, founded in London in 2026 and owned by the people who run it. We put frontier models to work inside mid-sized enterprises one process at a time, on the client's own systems, and we stay with each system after it goes live. - [Frequently asked questions](https://applicat.ai/faq): Direct answers about Applicat AI: what applied AI is, how engagements work, what they cost, where your data goes, which models we use and who owns us. ## Optional - [Full site text](https://applicat.ai/llms-full.txt): every page on this site as Markdown in one file, for reading the whole site in a single request. - [Sitemap](https://applicat.ai/sitemap.xml): all 27 canonical URLs. - [Privacy policy](https://applicat.ai/privacy): How Applicat AI collects, uses and protects personal data on this website and in its business relationships, in line with UK GDPR. - [Terms of use](https://applicat.ai/terms): Terms governing the use of the Applicat AI website.