aiqbench analysis
Cisco is opening its domain-specific models (networking, security, operations) to partners through a hosted API, with fine-tuning on customer data as an optional step. The OpenAI-compatible interface and tenant-scoped access controls make integration straightforward, but the article offers no benchmarks against general-purpose models, so the claimed advantage remains unverified. Readers should judge it by trying the Playground against their own operational problems.
Introducing Cisco Model Foundry: Bringing AI to our partners

We're launching Model Foundry in Cisco Cloud Control: Cisco's domain expertise, paired with the data only you and your customers have.
A year ago, the answer to “which model should we use?” was simple: whichever frontier model topped the leaderboard that week. Then open models caught up. They cost a fraction as much, you could run them where you wanted, and your data stayed yours. Plenty of teams made the switch. Then they pointed those models at real work. An operator reports that R2 lost every route from R1, but ping across the link still works. A security team needs to find the three files in a million-line codebase most likely to hold a vulnerability. An observability team needs to spot the one interface that matters in a week of telemetry. This is where general-purpose models, open or closed, start to struggle. We think the next leap comes from a model that already knows the domain and then learns your customer. That second…
Excerpt shown under the publisher's RSS terms · 142 words · full text and figures are on the publisher's site
Other coverage of this story
- Cisco Blogs · this article
- Microsoft Azure Blog · Introducing the Microsoft Copilot harness in Foundry Agent Service
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