Beyond the Hype: How AI Backend as a Service 10Xes Engineering and SRE Velocity

For the past year, I have watched brilliant engineering teams hit a wall.

They start with a simple goal: Build an AI agent for our app or Create a RAG based knowledge base for our customers. They think they will be live in weeks.

Fast forward six months: 95% of the team is buried. They are not building product features anymore; they have inadvertently become AI Infrastructure Engineers. They are drowning in glue code, struggling to manage vector database latencies, fighting with persistent memory, and worrying about PII leakage.

At Behest, we call this the GenAI Plumbing Problem. In Q1, we are releasing the next version of our platform to make things even easier for engineers and SREs.

The SRE Burden Nobody Talks About

Most companies treat AI as a frontend or prompt engineering challenge. In reality, it is an SRE and Infrastructure challenge as well.

When you build a production grade AI app, you are not just calling an LLM. You are managing:

Infrastructure Setup: Provisioning clusters for 5 to 10 different backend solutions
DevOps Overhead: Scaling resources as request volumes spike
The Glue Code Trap: Writing thousands of lines of code just to make disparate APIs talk to each other
Maintenance: Monitoring pipeline health and latency streams 24/7

Enter AI Backend as a service (AIBaaS): Build the App, Not the Infrastructure

We built Behest AI as an AI Backend as a Service (AIBaaS). Think of us as the Supabase for the AI Era. Our philosophy is simple: One API Call. Infinite Possibilities.

By using Behest, your team gets:

Zero Infrastructure Management: No clusters to set up. No vector DBs to maintain. No SRE headaches.
Instant Scalability: We handle the auto scaling and latency optimization out of the box.
No Glue Code: We have abstracted the entire AI logic layer.

10X Your Development Speed

When you remove the need to write glue code and the requirement to manage backend infra, the math changes. We are not just helping you move faster; we are 10X-ing the speed of your engineers and SREs.

By eliminating the months of foundational work usually required to secure and scale a GenAI backend, your team can go from a prototype to a global, production-ready launch in a fraction of the time.

What is Coming in Q1 (and the beauty of our API)

The next version of Behest AI adds sophisticated new features:

Set Granular Rate Limits: Protect your infrastructure and control costs at the user, app or organization level.
Implement Tiered Usage: Automatically manage different access levels for your customers based on token consumption.
Optimize Spend: Gain full visibility into how tokens are used across your entire application stack.

But here is the beauty of our platform: The API stays exactly the same.

In traditional development, adding these features would require a massive refactor. With Behest, you get the latest infrastructure upgrades and security protocols without changing a single line of your application code.

Our Mission: Accelerating Innovation

With over 50 years of collective experience at places like Palo Alto Networks, Amazon, and Oracle, my co-founder Levon and I know what it takes to build at scale. We did not build Behest AI to be another wrapper. We built it to be the foundational layer that allows the next generation of software to exist.

Whether you are a founder trying to beat the competition to market, or an enterprise leader at a firm like State Fund looking to operationalize AI securely, you should not be dealing with plumbing.

You should be building.

Q1 is right around the corner. Are you ready to 10X your speed?

Stop managing infrastructure and start shipping. For early access to our Q1 release or to discuss enterprise custom guardrails:

Contact us today at: enterprise@behest.ai

Behest AI is a proud member of the NVIDIA Inception Program. We are currently helping early partners move their GenAI projects from experimental to production in weeks, not months.

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