Naviteq Ltd

16/10/2026

When the AI bill grows faster than usage, the cause is usually where the tokens go, not what they cost.

In most stacks we look at, the bulk of tokens goes to simple work: summaries, extraction, tagging. Yet all of it runs on the most expensive model, because that’s what the first prototype used.

Two things change the game:

Match the model to the task. Send simple work to a fast model and keep the frontier model for real reasoning. Depending on the traffic mix, routing cuts inference cost by 30–80%.

Stop paying twice. Cache prompts you send again and again, and batch the work that can wait. Neither needs a single product change.

Pay for the model the task needs, not the one you happened to start with.

Do you know what share of your tokens actually needs your biggest model?

14/10/2026

14/10/2026

If every request in your AI stack hits the same frontier model, you’re paying frontier prices for “classify this email.”

It’s a reasonable way to start: one model, one SDK, ship it.
But once traffic grows, most prompts turn out to be summaries, extraction and tagging, work a faster, cheaper model handles just as well.

Two things change the game:

Route by task, not by habit. Score each prompt and send it to a fast, balanced or frontier model. Your app keeps one endpoint, and the router picks the model.

Fail over without a deploy.
When a provider rate-limits you at peak, traffic moves to the next one on its own. No code change, no 2am page.

The right setup isn’t one model for everything. It’s the right model for each request.

Are you routing today, or is everything still going to one model?

13/10/2026

Your AWS infrastructure, production-ready in 1 day. ⚡
Kubernetes, CI/CD, monitoring, security and full Dev/Stage/Prod separation, set up for you. Ready for any workload, including AI with Amazon Bedrock.
Book a call 👉 aws-accel.naviteq.io

12/10/2026

AI is spreading through every team, and in most companies nobody can say who is using which model, or how much. Naviteq’s LLM gateway puts all of it behind one control point.

Each team gets its own key with its own model access and limits. Any key can be switched off in seconds, and every call is logged so you can see exactly who used what. If a provider goes down, traffic fails over automatically and your rules don’t change.

Watch the 30-second demo, then book a call: [email protected] | naviteq.io

08/10/2026

Your OCI infrastructure, production-ready in 1 day. ⚡

Kubernetes, CI/CD, monitoring, security and full Dev/Stage/Prod separation, set up for you. Ready for any workload, including AI.

Book a call 👉 oci.naviteq.io

07/10/2026

05/10/2026

AI-ready AWS infrastructure, with a click of a button. 🤖

Want to run Bedrock and LLM workloads in production?
The Naviteq DevOps Accelerator deploys the whole platform underneath: Kubernetes, autoscaling, security, CI/CD, monitoring, and full Dev/Stage/Prod separation. It's production-grade and ISO/SOC2-aligned.

Watch it in action 👇 and book a call:
https://aws-accel.naviteq.io/book

04/10/2026

Is your monthly cloud bill hiding costs you never saw coming? ☁️💸

Looking strictly at VM unit pricing only gives you a fraction of the full picture.

True cloud expenditure is driven by what happens behind the scenes.
From network architecture and data transfer fees to resource allocation choices.

In our latest webinar, Danna Oudy breaks down why line-item billing can be deceiving and what teams need to look for to achieve true cost transparency.

👉 Watch the full webinar recording here:
🔗 https://www.youtube.com/watch?v=tOADudi3jOo

30/08/2026

Final days to register for Beyond the Invoice: The Hidden Side of Cloud Costs

Register here: https://us02web.zoom.us/webinar/register/2817852522529/WN_NctIL_UMRz23lyMSMPo3xA #/registration

Cloud costs are rarely about one obvious line item.They are often the result of many smaller infrastructure decisions that build over time.

On 2 September, Motti Shpirer, Danna Oudy and Elad Welner will unpack these decisions in a live webinar for teams that want to understand cloud spend with more clarity.

The session will cover:

◆ The cost layers that are easiest to overlook
◆ The role of data movement, egress and regions
◆ Customer-side lessons from real cloud environments
◆ Practical ways to approach optimization beyond rightsizing

📅 2 September
🕚 11am Israel
📍 Virtual webinar

Join the session before registrations close.