AI is changing the world.
Are you changing with it?

Your company, AI-native, within weeks.

Not AI bolted onto a few tasks. One agent joins your team, takes on the work that holds it back, and grows with your company from there.

Your people already use AI.
Your company hardly feels it.

 

90%

of companies have people using AI on their own to get their work done faster. Little of it ever reaches the company.1

Almost

70%

of the AI projects companies build internally fail. And the few that make it rarely show a measurable return.1

“The core barrier to scaling is not infrastructure, regulation, or talent. It is learning.”
MIT NANDA, The GenAI Divide: State of AI in Business 2025

That is why they fail: most AI tools don’t learn. They keep no feedback, don’t adapt to the way a company works and don’t get better with time.

What we believe

An AI that forgets stays a tool.
One that learns your company becomes part of its DNA.

That is what AI-native means to us. Not a chatbot here and an automation there, each starting from zero, but one agent that carries what your company knows and how it works.

It learns your clients, your decisions and the way your team likes things done. Every process it takes on gives it more to draw on for the next, so it carries a little more of your company every day.

And it comes to your people, not the other way round. It isn’t another tool for them to learn and drive. It takes the obstacles out of their way, so they do more of what they already do well.

We start from your week, not from a catalogue of use cases: what repeats, what waits on one person, what falls through the cracks.

Proof

We run our own company on it.

Not a pilot and not a demo. Every day, one agent does the jobs that would otherwise eat our evenings.

The inbox
Reads everything that comes in, answers what it can, and puts the rest in front of the right person with a draft ready.
The phone
Picks up when we can’t, and makes the calls we would rather not.
The books
Invoices go out on time, payments and renewals are tracked, and our accountant gets the documents without anyone digging for them.
The plan
Keeps the to-do list current and the calendar realistic, so nothing waits on someone who forgot.
The overview
When we need to know where things stand, it goes through the mail, the files and the open tasks and writes it up, with its sources.
New business
Finds who we should be talking to, prepares the conversation and follows up afterwards.
Our story
Writes our content and tells our story the same way wherever it is told.
The machinery
Keeps our servers, services and connections running, and builds the very platform it runs on.

It researched, wrote, designed and published this website in one morning, from what it already knew about our company.

Your company gets the same. The work that piles up around the real work goes to the agent, and your people get back to what they are good at.

Optakt One

Built to be trusted with real work.

Your agent runs on Optakt One, the AI infrastructure Optakt Labs engineered and owns, not on someone else’s platform. Handing work over to it takes trust. This is what earns it.

  • 01

    It works where your team works

    Your email, your calendars, your shared documents and the systems where you keep clients and tasks. Nobody has to learn a new tool.

  • 02

    It finishes the job

    It doesn’t hand you a to-do. It drafts the reply, prepares the invoice, files the document, and sees work that takes hours or days through to the end.

  • 03

    Your money and data stay safe

    It runs on your own servers or cloud account. Credentials are sealed and opened only for the one action that needs them, so the AI never sees them.

  • 04

    Everything is on the record

    It keeps a dated record of what it did and why. Corrections are marked, never erased.

  • 05

    It knows when to ask

    When a decision needs a person, it brings it to the right one, with what they need to decide.

  • 06

    It stays yours

    Choose the AI it runs on and switch when a better one comes out. What it has learned about your company stays with you.

Its cognitive architecture is the subject of thirteen US patent applications →.

How we work

Three key processes in four weeks.
Then the rest of your week.

  1. Week 1

    Map

    We look at how work moves through your company and agree with you on the three key processes where the agent gives the most time back.

    Your part. Show us how the work runs today, and where it hurts.

  2. Weeks 2–4

    Kickoff

    We install the agent on your servers or cloud account, connect it to your tools and bring the three processes into everyday work.

    Your part. Open up the tools involved, work with the agent every day and tell us what’s off.

  3. After

    Scale

    We tune it in real use and stay beside your team while the agent takes on more, so your company can grow without the workload growing with it.

    Your part. Decide what it takes on next.

The guarantee

If you aren’t fully satisfied with how the agent handles the three key processes, you get your money back. We carry that risk because we know what the agent can do.

Rather set it up yourself?
The software is free for one person.

The AI infrastructure we bring to every engagement is Optakt One, our own software. Install it on your own Linux or Mac machine and see for yourself what an AI that learns how you work can do.

Who we are

Systems that can’t afford
to get things wrong.

Max Wolter, the founder of Optakt Labs, has spent decades building secure distributed systems. Self-taught since childhood, he led the node software of Flow, the blockchain behind NBA Top Shot, and created the service that carried Coinbase’s integration of it. He also built the data platforms for POST Luxembourg’s business telecom traffic, for data centres and for a water network serving 75,000 people. Wherever he worked, a mistake would have cost someone money, data or trust.

Then he turned to AI. Optakt One is what nine months of rigorous engineering built on that foundation. Optakt Labs is based in Tallinn, Estonia. He also manages the technology of seven companies for Venture Technology Partners.

Learn more about the founder →

Questions

Before you book.

What if it doesn’t work for us?

Then you get your money back. If you aren’t fully satisfied with how the agent handles the three key processes, we refund you.

Is our client data safe?

What the agent knows stays on your own servers. The AI provider you choose receives the conversation, and each tool you connect receives what it needs to work; you can also run the AI on your own servers. The agent never sees your credentials.

What if it makes a mistake?

You decide what it does on its own and what it drafts for your approval first. Everything it does is on record, so nothing happens out of sight.

Will it replace our people?

No. It takes the work that piles up around their real work. The people, and the decisions, stay yours.

How much of our team’s time does it take?

Beyond showing us how your work runs in the first week, your team simply keeps working.

Do we need anyone technical?

No. We install it, connect it and look after it. Your team writes to it in plain words.

We already pay for AI tools. Do we have to drop them?

You can keep them. Nothing we build needs to replace them, and nobody has to switch.

Are we tied to one AI company?

No. You choose the AI it runs on and can switch whenever you like, without it losing what it has learned.

Which part of your week
would you hand over first?

Tell us in a 30-minute call. You’ll leave with a clear view of what an agent could take on in your company, whether or not we work together.

The founder

Max Wolter

Max Wolter learned to program the way he has learned everything since: on his own. He started as a child, on a 486 his father bought with a year’s salary, in the days of Tetris and Wolfenstein 3D. By the time the family moved up to a 60 MHz Pentium, he was writing HTML, PHP and jQuery for friends who already had paying clients, and had built his own clone of Planetarion, the browser game everyone was playing.

University gave him bigger machines. In Linköping, Sweden, he studied supercomputing at the National Supercomputer Centre, as well as real-time operating systems, and wrote his own OpenGL graphics engine. He also turned a single-player RPG into an MMORPG on a network stack he wrote himself, and built a massively parallel physics engine for infinite space. He holds a BEng in Computer Science and an MSc in Information Systems Security Management from the University of Luxembourg.

He tends to arrive early. He was using Bitcoin in 2010, and in 2013 he founded Nexunity, a Bitcoin platform in Luxembourg. For CIRCL, the country’s national CERT, he wrote a custom Bitcoin node to monitor ransomware. In 2016 he contributed to Ethereum’s native Go contract bindings and wrote a market maker for MakerDAO’s exchange, a year before its stablecoin launched. Alongside the crypto work ran the data platforms: real-time analytics for all of POST Luxembourg’s B2B telecom traffic, monitoring for Etix Everywhere’s datacenters, and a crawl of the entire Swiss property market.

Then came the blockchains other people build on. As a freelancer he led the node software of Flow, the blockchain behind NBA Top Shot, from zero to its public beta. His company Optakt Labs, funded by Dapper Labs, went on to create the Flow Data Provisioning Service. It carried Coinbase’s integration of Flow and became the network’s Archive node, its record of everything that ever happened on the chain. For Flare Network, Optakt did the EVM work behind its smart contracts and modified the Avalanche consensus code and algorithm its node was built on. By then the company had grown to eight engineers.

In the same years Max built a 5G smart-water network for DEA, which supplies 75,000 people in northern Luxembourg, and served as consulting CTO to a dozen South African tech start-ups.

In Lisbon he turned the same curiosity on the human body. He founded Healthy Horizon, the city’s first longevity club, for health optimization and biohacking. Then he took the idea further with the Conscious Health Summit, where more than 800 people explored the cutting edge of health optimization, and how much of it lives in our relationships and our inner life.

Now he is back in software, building Optakt One, an AI system that runs his life and his companies. The agent wrote 99% of its code, and its architecture is the subject of thirteen US patent applications. He is also Portfolio Technology Officer at Venture Technology Partners, where he manages the technology of seven South African tech companies.

Optakt Labs OÜ · Tallinn, Estonia

Intellectual Property

Thirteen provisional patent applications protecting the architectural foundations of autonomous AI agent operation. Filed at the United States Patent and Trademark Office, 19–20 April 2026.

U.S. Provisional Patent Applications filed 19–20 April 2026. All technical details, code, and related IP are fully protected and held in secure estate-managed escrow with multiple independent attorneys and trusted parties. Full public disclosure and estate plan ensure seamless continuation and clear ownership regardless of any event affecting the inventor. Patent pending.

01

Stability-Weighted Conversation Reduction with Cache-Preserving Boundaries

AI agents lose context as conversations grow—existing systems either truncate history or let costs grow without bound. This invention maintains quasi-infinite conversation timelines within fixed token budgets while preserving the economic benefits of provider prompt caching, ensuring that longer conversations become more cost-efficient rather than more expensive.

Application No. 64/043,576·Filed 19 April 2026·Patent Pending
02

Provider-Adaptive Cache Breakpoint Registry with Priority-Based Slot Allocation and Supersession Handling

Prompt caching can dramatically reduce AI inference costs, but existing systems treat cache positions as static. This invention dynamically manages cache positions as first-class resources with priorities, lifetimes, and graceful transitions—adapting automatically to different providers' caching backends without application-level changes.

Application No. 64/043,577·Filed 19 April 2026·Patent Pending
03

Memory Promotion Through Cache-Graded Segments

When AI agents reduce conversation context to stay within budget, important knowledge can be lost. This invention automatically promotes high-value knowledge to more durable, cache-efficient positions before reduction occurs—ensuring the agent never forgets what matters, without requiring human curation.

Application No. 64/043,579·Filed 19 April 2026·Patent Pending
04

Credential Injection Without Large Language Model Exposure

Every existing AI agent framework exposes API keys and passwords to the language model's memory, creating a fundamental security vulnerability. This invention ensures credentials are never present in any memory region accessible to the AI—they exist in a separate process and are substituted at execution time, making credential theft architecturally impossible.

Application No. 64/043,582·Filed 19 April 2026·Patent Pending
05

Programmatic Gate-Graph Execution Architecture for Large Language Model Agents

Current agent frameworks rely on the AI to self-regulate its own behavior—checking its own work with the same reasoning that produced it. This invention makes misalignment structurally impossible by defining task execution as a directed graph where every transition is verified against external reality by code, not by the model's self-assessment.

Application No. 64/043,584·Filed 19 April 2026·Patent Pending
06

Dynamic Tool Provisioning Without Cache Invalidation

AI agents need different tools at different stages of work, but changing the available tool set traditionally destroys expensive cached context. This invention enables seamless tool-set transitions that preserve cache economics—the agent gets exactly the tools it needs at each stage without paying the cost of cache rebuilds.

Application No. 64/043,588·Filed 19 April 2026·Patent Pending
07

Activation-Tree Access Architecture for Agent Knowledge Navigation

Existing AI systems access knowledge through flat retrieval—search, get chunks, hope for relevance. This invention models all structured knowledge as navigable trees with three independent access dimensions, allowing the agent to surgically locate and extract exactly what it needs across memory, files, archives, and any structured data source.

Application No. 64/043,592·Filed 19 April 2026·Patent Pending
08

Single Conversation Domain Model with Provider-Agnostic Surface Translation and Structured Message Addressing

AI agents that operate across multiple channels and multiple AI providers face a fragmentation problem—each surface and each provider has its own conversation format. This invention establishes a single canonical conversation record from which all surfaces and providers are translations, with stable per-message identity that lets the AI reference and act on specific messages across any channel.

Application No. 64/043,595·Filed 19 April 2026·Patent Pending
09

Predictive Tool-Result Admission Control for Bounded-Context Large Language Model Agents

A single oversized tool result can silently corrupt an AI agent's reasoning by pushing critical context out of its working memory. This invention predicts the impact of tool results before they enter the conversation and rejects those that would exceed quality thresholds—with structured guidance that helps the agent adapt its approach rather than fail.

Application No. 64/043,597·Filed 19 April 2026·Patent Pending
10

Multi-Regime Context Budget Management with Workload-Class-Adaptive Reduction for Large Language Model Agents

Different types of AI work have fundamentally different context requirements, but existing systems operate with a single fixed budget. This invention automatically selects the optimal operating regime based on what the agent is doing—interactive conversation, deep execution, background processing—each with its own budget profile and reduction strategy.

Application No. 64/043,601·Filed 19 April 2026·Patent Pending
11

Latent Knowledge Extraction and Reconciliation via Idle-Triggered Composable Maintenance Phases for Large Language Model Agents

Current AI agents that review their own history use single-phase, fixed-trigger approaches. This invention introduces composable multi-phase maintenance cycles triggered by idle time, knowledge accumulation, staleness, or post-task hooks—with forced maintenance windows for continuous-work deployments. Each phase operates under programmatically enforced constraints, producing knowledge consolidation that scales with accumulated experience.

Application No. 64/043,604·Filed 19 April 2026·Patent Pending
12

Federated Structured-Knowledge Integration with Provenance Attestation and Policy-Gated Reconciliation for Large Language Model Agents

Every AI agent today learns in isolation—knowledge gained by one deployment cannot benefit another. This invention enables independent agent deployments to exchange structured knowledge with cryptographic provenance and operator-controlled trust policies, creating network effects where every participating agent benefits from collective learning without any central authority owning the aggregated knowledge.

Application No. 64/043,605·Filed 19 April 2026·Patent Pending
13

Multi-Tenant Memory Access Control for Large Language Model Agents

When AI becomes shared infrastructure serving multiple participants, each person's knowledge must remain sovereign. This invention enforces granular per-role access control over persistent agent memory at the context-assembly boundary—the point where memory becomes input to the AI. No mandatory administrator, no ceiling on participant count, and tool responses filtered by identity before the AI sees them. The architecture works with any identity model and at any structural granularity.

Application No. 64/044,725·Filed 20 April 2026·Patent Pending

Inventor: Max Wolter

Privacy Policy

Last updated: 23 October 2026

Who we are

Optakt Labs OÜ (registry code 16248104, VAT EE102380068, Viru väljak 2, 10111 Tallinn, Estonia) builds AI agents and deploys them in companies. For the personal data described here, we are the controller, except where we work with your company’s data on your behalf (see below). You can reach us at max@optakt.io.

What this policy covers

This website, optakt.io, and our consulting work: talking with you, discovery, and deploying an AI agent in your company. The Optakt One software itself is covered by its own policy at optakt.ai/privacy ↗ (opens in a new window).

This website

The site has no forms. Our hosting provider, Vercel, processes the technical data every web request carries (such as your IP address and browser) to deliver the page and protect it from abuse. We use the country of your request only to show prices in euros or dollars; we do not store it.

We count visits with Vercel Web Analytics, for every visitor. It sets no cookies and keeps no identifier beyond a hash that expires within a day, so it cannot follow you across sites or visits.

We also use Google Analytics, to see how people find and read the site, and Google Ads, to measure whether our ads lead to visits and to requests for a call. Google sets cookies (such as _ga and _gcl) and receives your IP address, your browser and device, the pages you visit and those clicks. We send those clicks to Google from our own server as well, so they are counted when a browser blocks Google’s script. Where the law requires your consent first, as in the European Economic Area, the United Kingdom and Switzerland, none of this loads and nothing is sent to Google until you accept. Elsewhere it runs unless you opt out. If your browser sends a Global Privacy Control signal, Google still counts our ad results, but in its restricted data processing mode: the data is used only to measure our campaigns, never to personalise ads. Once measurement runs, our server re-issues Google’s cookies on our own domain so they last their normal lifetime (up to 13 months) rather than the few days some browsers allow. You can change your choice at any time under Cookie settings at the bottom of every page.

When we talk and work together

Meta Pixel and Conversions API measure visits and contact clicks from our Facebook and Instagram ads. Where prior consent is required, neither runs before you accept. Elsewhere you can opt out under Cookie settings. Meta receives the page address, browser information, IP address, advertising cookies (_fbp and _fbc) and a shared event identifier that prevents browser and server reports counting the same contact twice. Global Privacy Control enables Meta Limited Data Use. Meta Platforms is a recipient of this measurement data.

LinkedIn Insight Tag measures visits and contact clicks from our LinkedIn ads. LinkedIn receives technical browser and page information and may set advertising identifiers, including the first-party li_fat_id cookie. The tag follows the same consent choice and stays off when you decline or send Global Privacy Control. LinkedIn is a recipient of this measurement data.

The X website pixel and Conversion API measure visits and contact clicks from our X ads. X receives the page address, IP address, browser information, X click identifiers where available and a conversion identifier. The browser pixel and server reports follow the same advertising consent choice and stay off when you decline. Global Privacy Control enables X's Restricted Data Use for measurement without advertising optimisation. X is a recipient of this measurement data.

When you write to us, meet us or work with us, we process:

  • Your name, contact details, company and role
  • What you tell us in emails, messages and calls
  • Proposals, agreements, invoices and payment details

We run our own company with our own AI agent. It reads our correspondence and meeting notes so it can keep track of what we agreed and prepare our work. To do that, it sends the relevant text to the AI model providers we use, such as Anthropic and OpenAI, which process it under their business terms.

Recorded calls

Our AI assistant, Zero, may join video calls to record and transcribe them for us. It joins under its own name and introduces itself when it does. If you would rather not be recorded, say so, before or during the call: we will take it out of the call and delete what it recorded.

Recordings and transcripts help us remember what was said and do the work we agreed. They are made through Recall.ai and transcribed by ElevenLabs; Recall.ai deletes its copy after seven days. We keep ours in our own Google Workspace and Notion, for as long as our work together needs them, and delete them sooner if you ask.

When we deploy at your company

The agent we deploy runs on your infrastructure, and the data it works with stays there. To build and tune it, we use the access you grant us, for the duration of the engagement.

For the personal data in your systems, your company is the controller and we act as its processor (GDPR Art. 28): only on your instructions, under the data processing terms in our agreement, and bound to confidentiality. We do not copy your data to our own systems beyond what the work needs. When the engagement ends, we hand back or remove our access and delete anything we still hold, unless you ask us to keep it or the law requires us to.

Why, and on what basis

  • Preparing and carrying out an engagement, and invoicing it: to take steps toward and perform a contract (GDPR Art. 6(1)(b))
  • Answering you, keeping track of our conversations, recording calls, and protecting our website: our legitimate interest in running our business (Art. 6(1)(f))
  • Visit counting with Vercel Web Analytics, and Google Analytics and Ads where no consent is required: our legitimate interest in understanding and growing our audience (Art. 6(1)(f)), which you can object to under Cookie settings
  • Google Analytics and Ads where the law requires consent: your consent (Art. 6(1)(a)), which you can withdraw at any time under Cookie settings
  • Keeping accounting records: our legal obligation (Art. 6(1)(c))

How long we keep it

Correspondence and notes for as long as we are in touch, and up to two years after our last contact. Agreements and invoices for as long as Estonian accounting law requires, currently seven years. Call recordings as described above. Analytics data for 14 months, after which Google deletes it; Google’s cookies expire after at most two years, and your cookie choice stays in your browser until you clear it.

Who else processes it

We share data only with the providers who help us work: Vercel (website hosting and visit counting), Proton (email), Google Workspace (calendar and documents), Notion (notes), Recall.ai and ElevenLabs (call recording and transcription), our AI model providers, our accountants, and, on this website, Google (Analytics and Ads, as described above). Some are based in the United States; transfers rely on the EU–US Data Privacy Framework or the EU Standard Contractual Clauses. We do not sell data, and we share none with data brokers.

Your rights

You can ask us for access to your data, a copy in a portable format, correction, deletion or restriction, and you can object to processing based on our legitimate interest. Write to max@optakt.io; we answer within 30 days. You can also complain to the Estonian Data Protection Inspectorate (Andmekaitse Inspektsioon) or the supervisory authority where you live.

Changes

When this policy changes, the date at the top changes with it. If a change matters for how we use the data of a client, we tell that client before it takes effect.

Optakt Labs OÜ · Tallinn, Estonia

Terms

Last updated: 7 October 2026

Who we are

Optakt Labs OÜ (registry code 16248104, VAT EE102380068, Viru väljak 2, 10111 Tallinn, Estonia). These terms cover this website and the general shape of our consulting engagements.

Every engagement has its own agreement

What we do for a company is set out in a written proposal and agreement. They govern the engagement, and where they differ from this page, they prevail. Nothing on this website is a binding offer until both sides have signed.

How an engagement works

  • Discovery: we learn how your company works and where an agent helps most. It is at our cost, and you owe nothing if the proposal that follows does not convince you.
  • Proposal: the processes the agent will take over, the tools it connects to, and what success looks like, in your words.
  • Payment: half when you accept the proposal, half on delivery.
  • Delivery: we deploy the agent on your infrastructure and refine it with you over three iterations. You commit to giving us the access we need and your feedback on each iteration.
  • Guarantee: if, after the third iteration, the agent does not meet your expectations, you get your money back, as the agreement sets out.

Your data stays yours

Your company’s data, and what the agent learns and produces for you, belong to you. We keep everything we see during an engagement confidential and use it only for that engagement. How we handle personal data is described in our Privacy Policy.

The software

The agents we deploy run on Optakt One, our own software. Its use is licensed under the Optakt One terms ↗ (opens in a new window), unless your agreement says otherwise.

This website

The content of this site is ours; you may share and quote it with a link back. It informs and is provided as it is, without warranties. Do not misuse the site, for example by trying to disrupt it or gain access to systems behind it.

Liability

Our liability in an engagement is set out in its agreement. For this website, to the extent the law allows, we are not liable for decisions made on the basis of its content. Nothing in these terms limits liability for intent or gross negligence.

Law and disputes

Estonian law applies. Disputes go to the courts of Tallinn (Harju County Court), unless an agreement says otherwise or the law gives you another forum.

Contact

Optakt Labs OÜ, registry code 16248104, Viru väljak 2, 10111 Tallinn, Estonia · max@optakt.io

Optakt Labs OÜ · Tallinn, Estonia