# AI, websites and apps, built for what’s next. > ADJL Technology builds AI agents and automation, websites and native apps, and the technical SEO that gets them found by search and AI answer engines. Page: https://adjltechnology.com/ Updated: 2026-11-12 AI · Websites · Apps · SEO ADJL Technology builds AI that handles the busywork, websites people can find, and apps for iPhone and Android. Everything on this page was built by us. Scroll down and try it. [See what we’ve built](https://adjltechnology.com/#systems) [See what AI sees on your site](https://adjltechnology.com/scan/) We build AI that reads documents, fast websites, iPhone and Android apps, pages that search engines and AI can read, automation and dashboards. People read the top layer, crawlers follow the middle one and machines parse the bottom one. What we do ## What we can build for you. You don’t need the jargon to work with us. Here’s what we build and what you get. AI Engineering ### AI that does the busywork We build assistants that read your documents, pull out what matters and fill in your systems. When a mistake would cost money, a person checks it first. You get - Invoices, contracts and forms read for you - A person’s sign-off where it counts - Code and tests, handed over [How we build AI systems](https://adjltechnology.com/services/ai-engineering/) SEO & AI Search ### Easy to find, easy to quote Search engines and AI assistants read your site’s code before they show you to anyone. We make that code clear, complete and fast. You get - Pages that load fast and read in full - Labels that tell machines who you are - A summary file for AI assistants [How we do technical SEO](https://adjltechnology.com/services/seo/) Websites & Apps ### One build, on every screen We build websites, web apps and apps for iPhone and Android. The phone apps share one codebase, so a fix lands on both at once. You get - Fast from the first version - One codebase for iPhone and Android - Strict security settings by default [How we build sites and apps](https://adjltechnology.com/services/software/) Systems we run ### We run what we build We built the engine behind property decisions at ADJL Capital, a private investment firm, and it’s still running. Paste in a listing link and it returns a file where every figure names its source. How we run them - Every number says where it came from - Unaudited figures say so - New methods tried here first [See the systems](https://adjltechnology.com/work/) You say “We need a booking page that takes a deposit.” We write The code for that page. You get A working booking page with a deposit button. An example request. It starts with a sentence. We write the code, test it, and hand you something people can use. What we’ve built ## Things we built, and how they work. Each card opens a page that walks one system step by step. We show how each one works. We don’t publish what it returned, and since the firm is new, you won’t find client logos here either. Real estate Running · ADJL Capital ### A listing URL in, a sourced file out. Resolves the parcel, pulls live rents and comparables, reads years of public record and models tax through reassessment. Every figure names its source. Anything unaudited says so. [How the engine works](https://adjltechnology.com/work/real-estate-intelligence/) Loep Private preview ### The records behind a price, on one sheet. A property scanner, company reports read from SEC filings, a business analyst and an indicator our research tested. The engines are pure modules that run in the browser. AI writes one optional note from figures the code computed. [How Loep works](https://adjltechnology.com/work/loep/) Trading and research Running · ADJL Capital ### From the feed to the evening brief. Market-data ingestion, order logic and backtests that share the production code path. Plus a daily research pipeline built on point-in-time index membership. [How the pipeline works](https://adjltechnology.com/work/trading-infrastructure/) Agentic research Running · on paper ### AI agents run the studies. A person decides. Agents write the spec, the plan, the code and the reviews. A person approves each gate. Ideas face a blind control on the same days, and rules-based programs follow the chosen ones on paper after every close. [How the research runs](https://adjltechnology.com/work/agentic-research/) Native app Private distribution ### The whole engine, offline, on a phone. One Expo and React Native codebase for iOS and Android. The underwriting engine runs on the device, and tests hold it to the same answers as the web. [How the app works](https://adjltechnology.com/work/mobile-app/) Private website Private · gated ### Sealed at build. Checked at the edge. Members’ pages are kept out of the public build. An edge function checks a signed session before it serves any of them. [How the lock works](https://adjltechnology.com/work/private-site/) This website Public · you’re on it ### Prerendered, strict and self-checking. Static HTML, a content policy that allows nothing from other origins, structured data on every page, and a build that fails on hype. [How this site is built](https://adjltechnology.com/work/this-site/) - [All work](https://adjltechnology.com/work/) - [How an AI rollout runs](https://adjltechnology.com/work/ai-implementation/) ## Have something in mind? Let’s build it. Send a few lines about what you need, and Daniel will answer you himself. [Start a project](https://adjltechnology.com/start/) [daniel@adjlcapital.com](mailto:daniel@adjlcapital.com) From here down, it’s the proof, and it gets more technical. You can try the next two demos yourself. SEO, demonstrated ## What a machine reads on this page. Nobody outside a search engine can tell you what it’ll do with a page. We can show you exactly what it’s handed. When scripts run, the panel below fetches this page again and reads the raw HTML with no script run. Switch readers to see what an answer engine gets. Nobody can promise you a place in an AI answer. We can make your pages easy to read, quote and credit, and then measure what changes. - [How we do technical SEO](https://adjltechnology.com/services/seo/) Retrieval, demonstrated ## Ask this site. It cites or it stays quiet. This is the pattern under most of our AI work, small enough to run in your browser. Your question is matched against every paragraph on this site. The best passages come back quoted, with links. If nothing scores well enough, it says so and points you to a person. - [Who owns the code?](https://adjltechnology.com/#ask-q1) - [Do you build mobile apps?](https://adjltechnology.com/#ask-q2) - [What happens to our data?](https://adjltechnology.com/#ask-q3) - [What’s llms.txt?](https://adjltechnology.com/#ask-q4) Retrieval only. No language model writes these answers, and your question never leaves this page. - [How we build AI systems](https://adjltechnology.com/services/ai-engineering/) How we build ## Every build runs the same six steps. It barely matters whether the thing is an agent, a website or an app. We define right before we write code. Then we build the smallest version we can check, and hand it over running. ### Trace the work We follow the real process with the people who do it. Every workflow has a step nobody wrote down. ### Pick one step Expensive, repetitive, and survivable when it’s wrong now and then. Picking a glamorous one is how projects stall. ### Write down what right looks like For an AI system it’s an evaluation set built from real cases. For a site it’s a speed budget and a crawl test. Either way, it exists before the build does. ### Build it narrow One step, one system, one output you can measure. It runs on your data, as code your team can read. ### Put guards where mistakes cost A person reviews anything that’s expensive to get wrong. The build fails on anything a machine can check. This site won’t deploy if its copy uses a hype word, counts clients or puts a number on a result nobody measured. ### Hand it over running You get the code, the prompts, the evaluation set and the docs. Your team can change it without calling us. - [The full method, with pricing](https://adjltechnology.com/approach/) Working with us ## You talk to Daniel. A team builds it. ADJL Technology is Daniel Laskowski and a small senior development team. He takes the first call, writes the scope and reads every message sent to the address on this page. Nobody stands between you and the person accountable for the work. The team builds AI systems, websites, native apps and the search work around them. The software behind ADJL Capital was built here, including its underwriting engine, its investor app and its private website. Client work is held to the same standard. Daniel Laskowski Chief Executive Officer & Founder Four steps, and the first one’s free. After the second you have a written scope with a price on it. After the fourth your team owns a running system. 1. A conversation ### You describe the problem A call with Daniel and whoever will lead the build. No qualifying call first, and no salesperson. 2. Week one ### We watch it happen Time with the people doing the work and the systems holding the data. The real problem often turns out to be somewhere else. 3. Written down ### A scope, in writing The one step we’d build, what it costs, how long it takes and what has to be true for it to work. Priced and dated before anyone commits. 4. Then it ships ### Built, measured, handed over It runs against an evaluation set from day one and goes live behind the review gate the risk deserves. It ends with your team owning it. What the work is built out of. The constraint decides the tool. Fair questions ## The things you’re actually thinking. ### How big is the team, and who actually does the work? Daniel founded the firm and leads every engagement. He scopes the work and stays on it through delivery. The build is done by a small senior development team, and you meet the people who are on yours. There’s no bench of juniors a brief gets handed down to, and nobody translating between you and the engineers. ### Is this just a wrapper around someone else’s model? The model is one component, and usually the least interesting one. The work is in getting your data to a state where a model can act on it, deciding where a human has to stay in the loop, and building the evaluation that tells you whether any of it works. Swap the model out in a year and that scaffolding is what you keep. ### We already have developers. Where do you fit? Usually alongside them. We’re not there to replace anyone. An in-house team knows the business far better than we will in week one. What they often don’t have is spare capacity, or a reason to have built this particular thing before. We build the piece, work in your repository against your conventions, and hand it to your people to carry. They’re the ones who’ll still be here in a year. ### Who owns the code when we’re done? You do. The code, the prompts, the evaluation set and the documentation, in your repository, with no license back to us and no runtime dependency on anything we host. There’s no version of this where you have to keep paying to keep using what you paid to have built. ### What about our data? It stays in your environment wherever that’s possible. Where it isn’t, you’re told exactly what leaves, where it goes and how long it lives there. You get that before anything is built, not in an appendix afterward. ### How is this related to ADJL Capital? ADJL Capital is a private investment firm with three partners. ADJL Technology is a separate company, founded and led by Daniel Laskowski with its own development team. The software the fund runs on was built here, which is why we can describe it in this much detail. It’s our own. Neither firm owns the other, and nothing on this site is an offer of any security. ### Can you get us into AI answers? Nobody can promise that, and you should be wary of anyone who does. We can make your site easy to read and hard to misquote. That means prerendered pages, structured data that matches the copy, one clear name for each thing you sell and a plain-text summary for machines. Then we check what the engines actually say. ### Do you build mobile apps? Yes. Native iOS and Android from one codebase, with Expo and React Native. The app we built for ADJL Capital runs its whole underwriting engine on the phone, offline. ### Do you only work in finance and real estate? No. Those are the systems we built for ourselves first, so they’re the ones we can describe in detail. The patterns carry over to any business that runs on documents, data and decisions. Start here ## Tell us what’s slow, or what can’t be found. One paragraph is plenty. Tell us what you want built, the step that costs the most, or the page that should rank and doesn’t. If you know why the obvious fix hasn’t worked, say that too. [Start a project](https://adjltechnology.com/start/) [daniel@adjlcapital.com](mailto:daniel@adjlcapital.com) [Email Daniel](mailto:daniel@adjlcapital.com) Daniel reads and answers these himself, usually within a day or two. No sequence, no drip, and nothing sold to anyone. [ADJL Technology](https://adjltechnology.com/) Today’s investment, tomorrow’s legacy. ADJL Technology builds AI systems, websites and apps, and the technical SEO that gets them found. Founded and led by Daniel Laskowski. [daniel@adjlcapital.com](mailto:daniel@adjlcapital.com) Built 2026-11-12 from commit 6afca01. No cookies, no trackers, no third-party scripts. ADJL Technology. Nothing on this site is an offer to sell or a solicitation of any security, and nothing here is investment advice. Descriptions of internal systems are general by design and omit parameters and thresholds.