EBK is a polymath engineering firm. We embed in your business and ship working systems in days, not quarters. AI agents, infrastructure, ops, growth, strategy, design. We are fixers, doers, builders. We upgrade the whole company.
Three years ago, a system that read your operations data and acted on it took 18 months and a team of fifteen. Today the same system takes five days and three engineers.
The bottleneck is no longer technology. It's the caliber of the people deploying it. And the caliber you can hire internally at any reasonable price is not enough.
We learned this the hard way. We built our own AI system to trade prediction markets, with no team and no capital. That system runs without us and outperforms professional funds. Same approach works inside operating companies.
Most companies looking at AI right now are stuck between three options. Buy SaaS that solves a generic problem badly. Hire consultants who deliver slides and leave when you need them most. Hire internally and wait twelve months to find one mid-tier engineer who has never shipped a production agent system.
We do none of those. We deploy a polymath pod inside your business. Engineers, designers, traders, mathematicians, marketers. We ship the systems you need, in days, and stay until you fire us or hire us.
This is the Palantir model with the tempo of a small team that has its life on the line.
We are not a consultancy. We are not an agency. We are not a SaaS company. We are a deployed pod of operators that takes ownership of whatever you point us at. AI, ops, growth, design, strategy. If it can be done, we will do it.
Most AI work breaks down into a handful of repeatable patterns. We have shipped each one across multiple engagements. Bringing us into your business means asking for one of these by name, or asking us to combine them into something custom.
Every system we ship is built on the same architectural stack. Each layer is independent. Each layer is observable. We do not skip layers. We do not bolt them on. We do not ship the demo and call it production. This is the discipline that lets us move in days.
Most vendors ship layers 3 and 4 and leave you to figure out 1, 2, and 5. We ship all five. That is what "production-grade" actually means.
Some of our most valuable engagements have zero code in them. We are paid to think. To research a market a partner is about to enter. To brief them on a regulatory development before it lands. To stress-test a thesis. To model a scenario their internal team can not yet see. We have the rigor of a quant fund and the speed of a small team that ships every week.
McKinsey delivers a 100-page deck. We deliver a three-page memo with the actual answer on page one and the analysis you can audit behind it. Research engagements are priced separately from engineering work. They can be one-off, retainer, or bundled into a partnership.
When we embed in your company, you do not get a team of one specialty. You get a team that can do whatever the job needs. Most of what holds companies back is not one missing skill, it is the absence of a small group of capable people who can do everything.
We do not upgrade your tech. We upgrade your company. Every engagement starts as one problem and almost always expands into "can you also handle this." The answer is usually yes.
We did not start with agents. We started with hard production systems — trading engines, loan protocols, financial products, smart contracts — where the margin for error was zero. AI changed the speed and surface area of what we can build. It did not change the foundation. The result is a team that ships AI infrastructure on top of real engineering discipline, not the other way around.
We do not narrow by industry. We narrow by seriousness. If you operate something — a firm, a practice, a venue, a portfolio, a body of work — and you want it to be sharper, faster, and more valuable, we work with you. Below is a partial list of the operators we have either worked with or are actively in conversation with.
Most AI services firms can't show you working systems. We can. This is a sanitized snapshot of our trading orchestrator running production. Same architecture goes inside your business.
Multi-agent orchestration. Rule Zero human approval gates on consequential actions. Anomaly detection with automatic failover. Continuous retraining with canary rollouts. Full audit trail on every decision. This is production discipline. We bring it to whatever we build for you.
Every CFO and board member will run this comparison. Here is the version we would build if we were in your seat. No strawmen. No favorable framing of our own option.
| Dimension | Buy SaaS | Hire Consultants | Hire Internally | EBK Partnership |
|---|---|---|---|---|
| Time to working system | 1-3 months | 6-12 months | 12-18 months | 5 days |
| Year-1 fully-loaded cost | $60K-$300K | $500K-$2M | $400K-$700K (2 hires) | $300K-$1M |
| IP ownership | Vendor's | Yours (usually) | Yours | Yours, fully |
| Talent caliber | Generic, not yours | Variable, often junior | Whoever you can hire | Frontier-grade |
| Fit to your operation | Low | Medium | High eventually | High immediately |
| Switching cost if you leave | High (data lock-in) | Low | N/A (they leave) | Near zero |
| Ongoing capability after exit | None | Slides remain | Strong (long-term) | Strong (your team trained) |
| Optionality preserved | Low | Medium | Medium | Maximum |
The honest case for SaaS: predictable cost, low operational lift. The honest case for consultants: you're paying for the relationship, not the code. The honest case for internal hiring: deepest long-term ownership, if you can afford to wait. Our case is that we collapse the trade-offs: senior caliber, low switching cost, your IP, your team trained, no lock-in.
Every operator in your industry will adopt AI infrastructure within 24 months. The question is no longer whether. It is when. That timing question is a two-player coordination game with asymmetric payoffs.
The only rational reason to wait is if you have insider information that your competitor is also waiting AND a structural reason they cannot move first. Most operators have neither. Most are waiting for someone to make the decision for them. We are that someone.
We don't do six-month discovery phases. We don't do quarterly steering committees. The biggest companies in the world have built systems we ship in a week. The difference is tempo and ownership.
Five days is a posture, not a slogan. It only works because we follow a disciplined sequence. This is a sanitized version of the actual schedule we run on every engagement. The exact tasks change. The shape does not.
The biggest difference between us and a typical AI consultancy is that this entire week is real engineering. Not workshops. Not slides. Not strategy decks. The deliverable on Friday is a system running in production with your data, on your cloud, owned by you.
We don't have case studies because we don't need them. We have working systems running today.
A partial view of what we have built. Active client work and proprietary systems are redacted. The visible items are the ones we can talk about. Serious prospects get the full picture under mutual NDA.
We adapt the engagement to the company. Smaller operators usually want a turnkey vertical product. Mid-size companies want fixed-fee builds. The biggest companies want us embedded for the long term.
A real model with three scenarios, payback period, and 3-year NPV at 12% discount rate. Adjust the inputs to your situation. This is the same framework we use in every diagnostic. The real custom model lives behind that engagement.
Every engagement carries risk. We do not pretend otherwise. Below are the six risks we get asked about most, ranked by what we think actually matters. Each has a concrete mitigation. If any of these are dealbreakers for you, we should know before the diagnostic.
EBK runs lean by design. Saif and Kieran are the named principals. Behind them is a network of operators we can pull onto an engagement when the work demands. Some are full-time. Most are not. Most can not be named publicly. The point is that the bench is deeper than two people, and the talent you would not be able to hire is the talent we already have access to.
EBK is led by Saif Aldeen Agha and Kieran Chung, backed by a bench of engineers, mathematicians, designers, and operators from top US programs. We are not just AI people. We do everything required to ship.
Every active engagement runs through a private workspace at portal.ebk.tech. You see project status, agent telemetry, recent activity, and a direct channel to our team. No hidden work. No surprise bills. No status meetings that should have been an email.
Real telemetry. Real activity log. Real billing. Real direct chat. Every engagement gets its own portal from day one. Your team has read access at minimum. Your operators have full participant access.
Two operators on-site or remote, for one day. Mapping your workflows, identifying the three highest-leverage engagements, putting a number on each. Written diagnostic delivered at the end. Fully credited toward whatever we build together. We are taking a small number of new partners through the rest of 2026.
One day. Two operators in your business. Written diagnostic at the end. $25K, fully credited toward whatever we build together. We are taking on a small number of new partners for the rest of 2026.