AI that lands in the business
We map where models and automation actually change operations — then design for production, not demos.
See how we work →Tel Aviv · Software & AI consulting
Outwize helps high-tech and finance teams turn AI and custom software into systems that run in production — not slides.
Trusted by teams that ship
Our fundamentals
We don’t stop at prototypes. Since around 2010 we’ve paired consulting with build: the advice, the software, and the people to keep it running.
We map where models and automation actually change operations — then design for production, not demos.
See how we work →Custom mobile, web, and cloud systems with the stack your team can own — React, .NET, AWS, containers, and data stores that fit.
Browse the stack →Staff augmentation and embedded engineers who plug into your cadence — delivery without the overhead of a standing army.
Talk staffing →Capabilities
Your path isn’t one-size-fits-all. We meet you where the product is — greenfield, brownfield, or a model that needs to leave the lab.
Python ML with Keras, SciPy, and TensorFlow — trained for your data, wired into services, watched after launch.
React, Xamarin, and native Android/iOS when the product lives in someone’s pocket or on the shop floor.
C#/.NET and React on AWS — Docker, Kubernetes, MongoDB — architectures that stay operable under load.
Embedded engineers and delivery partners who close gaps in your roadmap without bloating headcount.
Technology
Platform-pragmatic, not fashion-driven. We pick tools your team can run — and we stay with them through release and the next upgrade.
Apps that hold up on the device and in the store review queue.
Models that leave the notebook and answer under production traffic.
Infra that deploys cleanly and can be operated on a Tuesday night.
Full product builds and the engineers to reinforce your squad.
Industries
Technology alone doesn’t solve sector problems. We lead with how high-tech and finance actually operate — then engineer from there.
Roadmaps that need mobile, cloud, and ML without losing velocity — from early product to systems that already have users.
Data platforms, decisioning, and operator tools where accuracy and auditability are non-negotiable.
Audience products, specialty commerce, and on-site workflows — systems that keep working when the day gets messy.
How we show up
We push past pilots. If it can’t be monitored, owned, and upgraded, it isn’t done.
Your constraints come first. We choose the stack that fits the team — not a vendor pitch deck.
Anyone can deploy a build. We care that people trust it, use it, and ask for the next release.
Success stories
Real engagements across banking, media, retail, and industrial ops — outcomes over theatrics.
Bank Leumi
Enterprise data and decision workloads for one of Israel’s largest banks — accuracy under real operational pressure.
Fin-Srv
Product and cloud systems for complex money workflows — clarity for operators, room to grow.
Channel 21
Digital products for broadcast audiences — content and backends that keep working when the show ends.
Fixia
Mobile and data loops for industrial teams — so what happens on site shows up cleanly in the system.
Yulia Jewelry
Storefront and ops tooling around how a specialty retailer actually sells — not a generic template.
D&B
Engineering under Dun & Bradstreet-class data pressure — insight only counts when the feature is live.
Clients
Custom software, production ML, mobile, cloud platforms, or staff augmentation — tell us what you’re building. We usually reply within one business day.
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