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Monthly Newsletter June 2026

Hyphen Newsletter April Edition
Hey there,
What it takes to make AI production-ready
Most AI projects don't fail in the lab. They fail at scale; bad data, no evaluation baseline, infrastructure that wasn't designed for it. This month: the fixes.
Event Highlights
We're heading to HPE Discover!
Let’s connect
 
Datasheet
Network infrastructure automation
Manual network management doesn’t scale - and network teams feel it every day. This datasheet shows how automation cuts provisioning time, stops configuration drift, and gives teams their hours back.
Download Datasheet
 
Case Study
Custom LLM Eval as a Service
Deploying large language models at scale is challenging - teams need reliable evaluation to make confident production decisions.
Problem:

Standard LLM benchmarks often miss real-world enterprise use cases, leaving teams with limited visibility into model performance where it matters most
  Solution:

A custom evaluation-as-a-service framework built around actual business workflows, with continuous assessments across accuracy, latency, and cost
  Impact:

Faster model selection, reduced hallucination risk, and more confident production deployments - without building evaluation infrastructure from scratch
This approach provides enterprise teams with a scalable, real-time evaluation system, enabling smarter decisions and faster deployment of LLMs across critical workflows.
Read Case Study
 
Industry Report
REAL guide for data-powered AI implementation | 2026
Telecom teams aren't experimenting with AI anymore - they're running networks with it. Three signals from the report:
  • Data readiness beats model sophistication - clean pipelines deploy up to 3x faster
  • Governance is a design requirement - not something you add afterthought
  • ROI comes from iteration - tight feedback loops, not big-bang rollouts
Download the Report
 
Featured Blog
Testing as a Service and benchmarking
Description: Launch failures are costly and most are preventable. This blog explains how Testing as a Service (TaaS) brings together automated benchmarking, real-world load simulation, and pre-production validation to improve launch readiness. For teams shipping software at scale, it works like a practical pre-flight checklist.
Read Blog
 
At Calsoft
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That's a wrap for June!
If something here is relevant to a challenge your team is working through, we're worth a conversation. See you in the next month.
 
Hyphen Newsletter June 2026 | AI, Cloud, Network Automation & SRE Insights