Intrascope.app
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Vladimir

Intrascope: BYOK + Managed AI for Teams - Access top AI models without your own API keys

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Intrascope.app
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Intrascope.app is a secure AI workspace for teams that combines BYOK and managed AI access in one platform. Use top AI models like OpenAI, Claude, Gemini, DeepSeek, Grok, and more without adding your own API keys, or connect your own if you prefer. Share team context, manage permissions, track usage and costs, organize projects with shared manifests, and give your entire company centralized, secure, and cost efficient AI access in one place.

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Vladimir
Maker
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Hey Product Hunt 👋 A few months ago, we launched Intrascope for the first time and ended up in the Top 10 Products of the Day on Product Hunt. What happened after honestly surprised us. Almost 100 companies registered, mostly inbound from the launch itself. Teams started connecting OpenAI, Claude, Gemini, DeepSeek and other models into one workspace, running real projects and integrating AI into daily workflows. But we also learned something important very quickly: Most companies want the benefits of centralized AI infrastructure, without the complexity of managing their own API keys. That feedback shaped the next version of Intrascope. Today, we’re launching a major update: Intrascope now supports both BYOK and fully managed AI access. Teams can instantly access top AI models directly inside Intrascope without adding their own API keys, while still getting: • centralized AI governance • shared team knowledge and manifests • usage analytics and cost visibility • permissions and workspace controls • secure multi model AI access in one place We believe AI is shifting from standalone tools to infrastructure inside companies, and we’re positioning Intrascope as the infrastructure layer for teams adopting AI at scale. Would genuinely love your feedback, questions, and thoughts throughout the launch 🙌
Sviatoslav Dvoretskii

Wow such a tight race in this market rn
Good luck!

Vladimir
Maker

@svyat_dvoretski Thanks a lot!

Yes, it’s definitely getting crowded, but we believe the next big problem won’t just be access to AI models.

It will be how teams use AI with proper governance, permissions, cost control and shared context.

That’s the part we’re focused on with Intrascope.

Atul Yadav

vladimir, congrats on the relaunch. the "companies want benefits of centralized AI without managing keys" insight is the right read, same pattern we're seeing on the runtime side. we're shipping a circuit breaker for runaway agent loops at iter 3 today too (reserve-then-commit budgeting per action). different layer in the same stack. lmk if u see overlap on the customer side, would happily compare notes.

Vladimir
Maker

@atul_yadav20 Thanks a lot, really appreciate it.

Yes, I think we are seeing the same shift from different layers. Companies want the value of AI, but they do not want every team, user, or agent operating through unmanaged keys and invisible spend.

Your runtime circuit breaker sounds very relevant, especially as agentic workflows become more common. On our side, we are focused more on the workspace, permissions, project context, model access, and spend visibility layer.

Definitely happy to compare notes. I think there could be overlap on customers that are starting to move from simple AI usage into more governed and automated AI operations.

Atul Yadav

@intrascopeai  the line between "visibility layer" and "runtime guard" is basically the whole product space, both halves are needed and neither is enough alone. would love to compare notes once both products are past launch dust.

the overlap i'm most curious about: when an intrascope customer's per-agent spend visibility surfaces "agent X is burning 4x more than agent Y", does that handoff to a breaker (kill / throttle) or just a slack ping? that's the integration shape that keeps coming up in convos with builders.

happy to dm or do a 20 min call after thursday.

Vladimir
Maker

@atul_yadav20 I think both layers will naturally converge over time. Today it might start with visibility and alerts, but eventually teams will expect governance to translate into actions when needed. Definitely happy to compare notes once things calm down a bit after launch. Feel free to DM me your calendar link and we'll find a time to chat. We'll definitely loop in @stefan_car as well since he's been heavily involved in shaping this side of the product. Stefan, curious to hear your perspective on this too.

Stefan Jovanovic
Maker

Hey @atul_yadav20

From the engineering side, today it is more gateway enforcement than notification / alert.

Because requests go through Intrascope, we can block the next call when limits are hit (model blocks, spend caps, balance checks). But stopping a runaway agent loop mid-flight is a different problem. That is where something like your reserve-then-commit / circuit breaker approach makes a lot of sense.

I see the layers as complementary: Intrascope for centralized access + spend policy at the boundary, runtime guard for per-action control inside agent workflows.
Would be great to explore this topic further!

Thami Benjelloun

To be honest, centralized usage and cost tracking is what most teams end up needing after the first month, so I think this is amazing and very helpful.

Vladimir
Maker

@thamibenjelloun Thanks! That’s exactly what we’re hearing from teams. The challenge quickly shifts from getting access to AI to managing visibility, governance, and costs at scale.

Vladimir
Maker

For those already using AI across teams, what has been the hardest part: setting spending limits, managing access, or understanding actual usage patterns?