The most common mistake is building AI features from the model outwards, starting with what the AI can do and hoping users figure out the rest.
,Your Klysera AI product engineer works from the user backwards, owning the full journey from product definition to production so every AI feature your product ships gets used, trusted, and returned to.
Klysera places AI-native mobile engineers who build iOS and Android experiences that feel native on both platforms, pass App Store review on the first submission, and evolve with your product as it scales at up to 60% less than traditional hiring.
Save up to 60% on world-class AI product engineers
Get matched with vetted AI product engineers who design and build AI features with your users in mind, at up to 60% less than traditional hiring, on an outcome-based model that only pays out when your AI features drive the adoption you were promised.
Trusted By Global Tech Teams Building The Future
THE FUTURE OF MOBILE ENGINEERING
You don't need a $200,000 AI team to ship AI features your users actually trust.
Most AI features fail because the product experience around the model was never designed. Users don't know what the AI can do, and they don't trust it enough to rely on it, so a technically impressive capability often sits unused inside a product that could have been transformed by it.
An AI product engineer designs and builds the experience that turns AI capability into user trust. They own the feature from the first product question (should we build this at all) to the last iteration after watching real users interact with it.
YOUR AI PRODUCT ENGINEERING ADVANTAGE
The AI product engineering
Talent partner your product has been waiting for.
Talent partner your product has been waiting for.
See the Impact Agreement
BUILT FOR THE WAY YOU BUILD
World-class AI product engineers built to turn AI capability into product that people actually adopt.
Failure Design & Degradation
Problem
No Handoff
Scope
Designs fallbacks, error states, and expectation-setting that stop a bad output from becoming a broken experience.
Adoption Metrics & Iteration
Problem
No Handoff
Scope
Tracks feature engagement, and trust signals after launch then iterates based on how real users actually behave.
Stakeholder Translation
Problem
No Handoff
Scope
Bridges the gap between what AI can technically do and what the business actually needs, so founders can make decisions with clarity.
End-to-End Feature Ownership
Problem
No Handoff
Scope
Owns the frontend, the backend, and the AI integration as one build, so the product feels cohesive from the foundation.
SUCCESS IN NUMBERS
The best return on your engineering investment.
Companies that hire through Klysera get a measurable shift in how their infrastructure performs, what it costs, and how fast their team can ship on top of it.
60%
Cost savings compared to traditional hiring models
5-Point
IKE framework every engineer is stress-tested against to ensure they meet the set benchmarks
$0
Is our fee if your engineer doesn't hit the benchmarks we agreed before they started.
100%
Of all Klysera's engagements are outcome-based, so you only pay for results.
THE FUTURE OF PRODUCT ENGINEERING
We Built The Framework To Get You The Rarest Type of Builders
Most founder conversations with talent partners feel like being sold to. Ours don't. Here's exactly what happens from the moment you book to the moment your engineer is working on your product:
OUR SERVICES
Great AI product engineering should be about shipping AI features people actually use.
From your first AI feature to the one that becomes the reason users choose your product over every alternative, every Klysera AI product engineer shows up ready to own the work that determines whether your AI capability becomes a product advantage or a forgotten feature.
Feature Definition & Product Strategy
AI opportunity evaluation & feasibility scoping
Build-vs-buy decisions for AI capabilities
Success metric definition & adoption benchmarking
Stakeholder alignment & AI roadmap planning
AI Experience Design & Engineering
Confidence & uncertainty UX design
Error state & fallback experience design
Conversational & generative interface engineering
Explainability & transparency features
End-to-End Feature Implementation
Frontend & backend development for AI features
Model integration & API orchestration
Prompt design & output handling
Personalisation & recommendation logic
Adoption, Iteration & Trust
Feature analytics & adoption tracking
A/B testing for AI feature variants
User feedback loop design & iteration cycles
Trust & safety monitoring post-launch
KLYSERA VS. THE ALTERNATIVES
Hiring or outsourcing? Neither.
Work with world-class AI-native AI product engineers who are fully vetted, enabled, and backed by a guarantee built around your outcomes.
Klysera
We define what success looks like together — specific, measurable outcomes your engineer is expected to deliver.
Traditional staffing
They hand you resumes and hope for the best. No accountability after placement.
In-house hiring
Full control, but slow, expensive, and you're gambling on interviews alone.
Outsourced dev shops
They build it for you, but you lose control, context, and the ability to iterate on your own terms.
AI-Native Talent
Klysera
Traditional staffing
In-house hiring
Outsourced dev shops
End-to-End Ownership
Klysera
Traditional staffing
In-house hiring
Outsourced dev shops
Performance Guarantee
Klysera
Traditional staffing
In-house hiring
Outsourced dev shops
Ongoing Enablement
Klysera
Traditional staffing
In-house hiring
Outsourced dev shops
Cost Efficiency
Klysera
Traditional staffing
In-house hiring
Outsourced dev shops
Impact Agreement
Klysera
Traditional staffing
In-house hiring
Outsourced dev shops
OUR WORK
Here's what happens when a product engineer treats your infrastructure like it's their own.
"Our cloud bill had tripled in 18 months and nobody could tell me why. The Klysera engineer we brought in audited everything, cut $38K in monthly spend, and rebuilt our deployment pipeline in six weeks. We went from shipping fortnightly to shipping daily. That's not an infrastructure win — that's a product win."
Daniel R. · CTO
Series B SaaS · Remote
"We had 14 infrastructure vulnerabilities flagged two weeks before our biggest enterprise sales call. Klysera's cloud engineer closed every one and had our compliance documentation ready before the meeting. We closed the client. That engineer paid for themselves in one deal."
Sarah M. · CEO
AI Startup · London
"We had no infrastructure, no DevOps, nothing. Just a product that needed to exist. Klysera built the entire cloud foundation from scratch — architecture, CI/CD, security baseline — and stayed with us through the seed round. Investors were asking about our technical foundation. For the first time, we had a real answer."
Yoav B. · VP Engineering
Fintech · Tel Aviv
"We were burning through compute budget and our unit economics didn't make sense. The inference infrastructure Klysera built reduced our per-request cost by 64%. That number is what got us to Series A. I'm not exaggerating."
Noa T. · Founder
Pre-Seed · Remote
OUR DIFFERENCE
Klysera is built for founders who refuse to settle.
Accountable:
We monitor delivery against the benchmarks we agreed before work began, step in when things drift, and stay accountable for outcomes long after the onboarding call is over.
Precise:
We match you to the engineer whose specific experience maps to your specific inflection point in a company that looked like yours.
Enabling
Every Klysera engineer arrives with more than technical skills. They arrive equipped with the frameworks, tooling, and ongoing support to deliver from day one and stay consistent throughout the engagement.
Seamless
You always know where your engineer stands, what they're working on, and whether the benchmarks are being hit.
YOUR PRODUCT DESERVES BETTER
We only work with the best engineers to ensure maximum product quality
Fewer than one in five engineers who enter the Klysera assessment pass the IKE standard, because owning retention, making the right platform call, navigating App Store compliance, and integrating on-device AI simultaneously is a specific capability most hiring processes never screen for.
A NEW STANDARD FOR YOUR PRODUCT
You didn't build something worth scaling just to watch it hit a ceiling your architecture can't support
There's a better way to build. And it's not another job board search, another agency retainer that disappears when the performance ceiling appears, or another freelancer who makes the framework call based on what they know rather than what your product needs.
Experience a new standard in AI product engineering.
The product your users deserve is too important to leave to chance. Let's talk about what you're building and find the product engineer who's already solved a version of the problem you're facing.
