Products & platforms
Websites, apps, whole platforms. One team owns the build, so you skip the part where four vendors blame each other.
8–24 weeks · fixed scope · you keep everything
Evlogia · a lean engineering team
We build hard things
for fun.
Web, AI, hardware, firmware. The difficult ones are the fun ones. That's the whole business model.
Oh! A visitor. Welcome to Evlogia. We grow software here, mostly the difficult kind. Want the tour?
A farm. Also an engineering company. The crops are a metaphor; the shipping record isn't. Take the tour when you're ready.
Take the tour of the farmSkip to the workWhat we grow around here
Five fields, one team. The person who scopes your build is the person who reviews the PRs, mostly because there's nobody to hand it to.
Internal tools
Dashboards and workflow tools people open on purpose. The bookmarks folder is where the last vendor's dashboard lives.
4–10 weeks · fixed scope
Applied AI
AI where it earns its keep. If a regex would do the job, we'll tell you, then charge you for a much smaller project.
pilots 4–6 weeks · production 3–6 months
IoT & devices
Firmware, sensors, connected hardware. Built to survive contact with reality, which is famously undefeated.
prototype 6–10 weeks · production 4–8 months
AI enablement
Your engineers, trained hands-on to build with AI. Real agents in your real codebase. Nobody opens a slide deck.
2–8 weeks · your codebase, not a sandbox
The quest board
Some teams pick projects by billable hours. We pick by “ooh, that's hard.” A few from the log:
Build the foundation of an LMS
shippedfor 10 Seconds
Complex requirements, one clean architecture. Their words: "lasting impact on our product development."
difficulty
Full-stack build on a hard deadline
shippedfor OceanCharge
"Whenever we need to deliver, we can trust the Evlogia team to push as hard as they need." We pushed.
difficulty
Replatform a training company's web presence
shippedfor Edoxi
Rebuilt the platform and repositioned how the services sell. Their manager's word for it, not ours: "impressive."
difficulty
A product site that carries the brand
shippedfor Magniz
Smooth, stress-free, elevated how they present themselves. The chickens claim they could have done this one.
difficulty
Novel AI architectures
open questProblems where plugging in a model isn't enough and someone has to do actual research. We run the experiments and publish the negative results too.
difficulty
Hardware nobody's built before
open questSensor pipelines, embedded firmware, devices with no reference design to copy. Our favorite kind of unreasonable.
difficulty
Platforms where the data model IS the problem
open questMulti-tenant systems and high-stakes data flows where getting the architecture wrong is very expensive. This is our idea of a good time.
difficulty
Your problem here
The board has room. Difficult submissions get reviewed first.
R&D isn't a department here; it's the part we'd do for free. When an engagement grows something genuinely new, we file the patent in your name.
Quests are accepted in order of difficulty. The easy ones go to the chickens.
The farmhands
Four of us. Zero account managers. Email the farm and an engineer answers; there is nobody else who could. Click one of us.
Arjun
Engineering
Distributed systems, platform architecture. If it has to stay up, it's his.
- Arjun, Engineering. Distributed systems, platform architecture. If it has to stay up, it's his. Arjun on LinkedIn
- Aneesh, Applied AI. Production AI end-to-end, from "is this even possible?" to deployed and boring. Aneesh on LinkedIn
- Ethan, Product & Delivery. Web, mobile, IoT. Turns "vague idea" into "shipped" on an actual schedule. Ethan on LinkedIn
- Karthik, Hardware & Systems. Firmware and connected devices, prototype to production. Speaks fluent oscilloscope. Karthik on LinkedIn
Word around the valley
- 10 Seconds
- Edoxi
- Inspire
- Nitte
- Aambianz
- Magniz
- Ocean Charge
- Sell My Plot
- Vanora
“The team did an amazing job building a product website for my brand, which really elevated how we present ourselves to customers. They made the whole process smooth and stress-free.”
Koyal Kiran · CEO, Magniz
Real quotes from real humans. The animals declined to comment.
The harvest ledger · since 2021
systems shipped
clients served
production AI builds
industries
Ledger audited by the cow. She's thorough.
Ask the farmer
Everything people usually want to know, answered by the one character here who never stops working.
the farmer
(knows things)
What kind of work do you take on?
Products, platforms, internal tools, applied AI, connected hardware, and hands-on AI training for engineering teams. Plus frontier R&D for clients whose problems need real experiments. The harder it is, the faster we reply.
What kind of work do you take on? Products, platforms, internal tools, applied AI, connected hardware, and hands-on AI training for engineering teams. Plus frontier R&D for clients whose problems need real experiments. The harder it is, the faster we reply.
What does an engagement look like? Smaller projects run 4–8 weeks. Full platforms run 3–6 months. Every engagement starts with a scoping session that defines what's being built and what "done" means. Weekly updates come straight from the engineers, because that's everyone here.
What does it cost? We price by project, not by the hour. Pilots and smaller builds typically land in the low five figures. Full platforms and production AI run mid-five to mid-six figures depending on scope. Send us your problem, and we'll come back with a real number.
Who owns the code and IP? You do. All of it. If the work produces something patentable, we handle the filing in your name. Our standard agreement says this in writing, not in a farm metaphor.
Startups or enterprises? Both, plus research institutions. We need a clear problem and the budget to act on it. The size of your org chart has never once come up.
How do you handle confidentiality? Mutual NDA on every engagement. We don't share client work, code, or data without written permission. Most of our best work is invisible for exactly this reason.
Can we start small? Yes. Most clients start with a scoped discovery phase or a small first deliverable. If it warrants more, we grow it. No pressure either way; the farm is patient.
Bring us something difficult.
Thirty minutes with an engineer. Nobody says “circling back.” If we're not the right team, we'll say so and point you at who is.
July 2026
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pick a day
Prefer the plain calendar?cal.com/ethankd/strategy
Calendars are a lot. Email works too: hello@evlogia.ai