As enterprises push to undertake AI at scale, a crucial bottleneck emerges – 74% of organizations cite knowledge safety as their most vital barrier, but almost half of safety groups face funds cuts whereas a worldwide scarcity of 5 million safety professionals deepens the disaster. Conventional knowledge safety instruments exacerbate the issue reasonably than clear up it, scanning for traditional patterns and producing tens of hundreds of low-value alerts that overwhelm groups with out offering clear paths to remediation. Teleskope addresses this basic hole with the trade’s first agentic knowledge safety platform that operates like a human safety workforce – mechanically discovering, classifying, and defending delicate knowledge whereas taking autonomous motion to remediate danger in actual time. The platform’s proprietary multi-stage classification pipeline processes 40,000 bytes per second with 99.3% accuracy, applies company-specific insurance policies with full enterprise context, and actively fixes points from revoking improper entry to imposing retention intervals, successfully embedding a 24/7 knowledge safety workforce inside enterprise environments. With dozens of shoppers together with Ramp, LegalZoom, Alloy, GoFundMe, and The Atlantic already utilizing the platform to scale back storage prices whereas strengthening safety posture, Teleskope addresses an $80B market alternative by 2030.
AlleyWatch sat down with Teleskope CEO and Founder Elizabeth Nammour to study extra concerning the enterprise, its future plans, current funding spherical, and far, way more…
Who have been your traders and the way a lot did you elevate?
We simply raised a $25M Sequence A, led by M13, with continued help from Main Enterprise Companions and Lerer Hippeau. This brings our complete funding to $32.2M. Main led our seed and Lerer Hippeau led our pre-seed, so on this spherical we actually wished to proceed to construct with companions who’ve believed in Teleskope for the reason that very starting, whereas bringing in an distinctive new companion in M13. This new capital will assist us scale our workforce and deepen our funding within the trade’s first agentic knowledge safety platform.
Inform us concerning the services or products that Teleskope affords.
Teleskope is the trade’s first agentic knowledge safety platform, which perceive enterprise context and might take motion to seek out and remediate knowledge dangers that really matter to a particular enterprise. Enterprises are drowning in fragmented knowledge, and as AI adoption accelerates, most legacy instruments can’t sustain. At finest, they discover issues however depart safety groups with out solutions.
Teleskope mechanically discovers, classifies, and contextualizes delicate knowledge throughout cloud, SaaS, and hybrid environments, then takes actual motion: revoking entry, redacting content material, imposing insurance policies, or fixing misconfigurations in actual time. Our multi-stage classification pipeline combines ML routing, specialised AI fashions, deterministic logic, and contextual reasoning to ship extremely correct outcomes at scale.
As a substitute of producing tens of hundreds of low-value alerts, Teleskope clients get significant, extremely contextual insights, paired with autonomous remediation.
What impressed the beginning of Teleskope?
My time as a safety engineer at Airbnb is what sparked Teleskope. I used to be accountable for making sense of a whole bunch of petabytes of knowledge, unfold throughout dozens of platforms, and the instruments I examined simply couldn’t scale to wherever close to what we would have liked. They lacked context, they lacked contextual perception, generated largely false positives or irrelevant alerts, and put all of the guide burden again on the workforce.
I knew we would have liked a platform that might adapt to our priorities and setting, and do greater than discover potential knowledge danger, and really cut back it. With advances in AI capabilities over the previous couple of years, I spotted there was a possibility to construct a wiser, extra scalable product – one that might truly assume like a human – one which understood context, prioritized actual danger, and took motion mechanically to guard knowledge at manufacturing scale. That have and the chance I noticed out there is what finally turned the inspiration for Teleskope.
How is Teleskope totally different?
Most knowledge safety instruments cease at visibility. They inform you the place the issues are however don’t enable you to repair them, and safety groups are already stretched skinny. Teleskope was constructed to shut that hole.
Our platform understands context, applies company-specific insurance policies, and takes autonomous motion to remediate danger at scale. As a substitute of dumping alerts on groups, it behaves like a human analyst, prioritizing what issues and performing immediately. We work throughout cloud, SaaS, and hybrid environments, deploy rapidly, and combine cleanly into current workflows.
As knowledge grows and AI adoption accelerates, groups want to have the ability to react in actual time to keep away from exposing delicate knowledge. Safety groups want a platform that acts quick, at scale, the way in which their very own workforce would – and that’s what Teleskope delivers.
What market does Teleskope goal and the way huge is it?
We function within the DSPM and broader knowledge safety market, however with a deal with agentic, action-driven enforcement and remediation. Our clients are primarily midmarket and enterprise organizations, particularly these in extremely regulated or data-heavy industries.
Knowledge is exploding, laws are tightening, and AI is rising the blast radius of each publicity. With safety groups understaffed and overwhelmed by the sheer scale of this problem, autonomous remediation is changing into important. As we proceed to ship a completely agentic platform that reduces guide work and eliminates alert fatigue, we estimate our international market alternative will attain roughly $80 billion by 2030.
We’re constructing the platform safety groups have wanted for years: one which helps them sustain with their knowledge, undertake AI safely, and cut back danger in actual time.
What’s your enterprise mannequin?
We’re a SaaS platform with a usage-based mannequin designed for enterprises with advanced, fast-growing knowledge environments. Clients subscribe to Teleskope to mechanically uncover, classify, and remediate knowledge dangers throughout cloud, SaaS, and hybrid environments. Our worth is each safety and operational effectivity. Many shoppers inform us the platform pays for itself via storage discount and automatic cleanup alone, for instance, by imposing retention intervals on sure forms of paperwork. As a result of we deal with end-to-end remediation, groups save monumental guide effort, which compounds the ROI.
How are you getting ready for a possible financial slowdown?
Truthfully, our focus hasn’t modified: construct software program that works. That self-discipline is what retains us resilient. We’ve spent years grounding our roadmap in buyer wants—automation, accuracy, and the power to scale back guide work. In a slowdown, automation and remediation change into much more crucial as a result of safety groups are understaffed and budgets shrink. Teleskope helps enterprises do extra with much less: minimize waste, cut back storage prices, and eradicate hundreds of hours of guide remediation. This can be a product that drives effectivity inside safety groups, so financial strain truly strengthens our worth proposition.
What was the funding course of like?
The method was quick and extremely conviction-driven. A lot of our traders have been following our work for the reason that early days—some found Teleskope via the technical blogs I wrote about constructing the inner platform at Airbnb. With sturdy product-market match and a roster of glad clients who acknowledged the worth of our distinctive worth proposition, method and technical capability, the momentum was clear to traders. By the point we began the Sequence A elevate, the market shift towards agentic safety and AI-driven remediation solely added tailwinds to our progress story.
What are the largest challenges that you simply confronted whereas elevating capital?
The largest problem was serving to traders perceive how basically totally different remediation is from detection. Most instruments in our house floor alerts and only a few take motion. That distinction appears delicate till you see it in apply. We needed to articulate why enterprises don’t simply want visibility; they want a platform that acts like a human safety workforce. And there’s a purpose this hasn’t been construct – it’s a deeply technical problem that has eluded lots of the current distributors on this house. As soon as traders noticed how agentic automation adjustments knowledge safety outcomes at scale, and the way our technical basis makes us uniquely positioned to ship this resolution, the conversations shifted rapidly.
What elements about your enterprise led your traders to put in writing the test?
A number of issues stood out:
- An enormous, validated ache level: Enterprises in every single place are drowning in knowledge, and AI adoption provides each danger and urgency to the issue.
- A paradigm shift towards remediation: Traders may clearly see the necessity to transfer from dashboards and alerts to actual fixes.
- Deep buyer traction and ROI: Our early clients weren’t solely renewing however increasing, with some paying again the price of the platform solely via storage financial savings.
- Technical differentiation: Our agentic automation, multi-stage classification pipeline, and policy-aware remediation go far past what conventional DSPM instruments supply and in lots of circumstances past what they may be capable to construct.
- Founder-problem match: My expertise constructing comparable instruments at Airbnb confirmed traders we understood the issue at a deep, technical scale.
What are the milestones you propose to realize within the subsequent six months?
Over the subsequent six months, we’re laser-focused on increasing our agentic automation so the platform can perceive and implement extra advanced knowledge administration, safety, and privateness insurance policies mechanically. On the similar time, we’re persevering with to broaden the contextual insights we are able to present, which in flip unlocks the power for purchasers to implement extra nuanced and focused remediate actions. We’re additionally doubling down on buyer expertise and deployments, guaranteeing that each new enterprise can rise up and working rapidly and begin seeing remediation worth instantly. With the traction we now have seen over the previous two quarters, H1 2026 shall be all about scaling up go-to-market to have the ability to sustain with demand. To help this progress and deepen our funding in R&D, we’re quickly increasing our knowledge science, engineering, and go-to-market groups and anticipate to just about double the workforce’s dimension by June 2026.
Over the subsequent six months, we’re laser-focused on increasing our agentic automation so the platform can perceive and implement extra advanced knowledge administration, safety, and privateness insurance policies mechanically. On the similar time, we’re persevering with to broaden the contextual insights we are able to present, which in flip unlocks the power for purchasers to implement extra nuanced and focused remediate actions. We’re additionally doubling down on buyer expertise and deployments, guaranteeing that each new enterprise can rise up and working rapidly and begin seeing remediation worth instantly. With the traction we now have seen over the previous two quarters, H1 2026 shall be all about scaling up go-to-market to have the ability to sustain with demand. To help this progress and deepen our funding in R&D, we’re quickly increasing our knowledge science, engineering, and go-to-market groups and anticipate to just about double the workforce’s dimension by June 2026.
What recommendation are you able to supply corporations in New York that don’t have a contemporary injection of capital within the financial institution?
Give attention to self-discipline and fundamentals. Get clear on what really drives income, minimize or pause something that doesn’t, and be sensible about timelines and progress expectations. In a decent capital setting, sturdiness issues greater than pace.
The place do you see the corporate going now over the close to time period?
We’re getting into the subsequent section of agentic knowledge safety. Visibility is now not sufficient—CISOs and safety groups want programs that perceive enterprise context and repair points mechanically. Our near-term focus is scaling that functionality throughout extra environments, extra knowledge sorts, and extra insurance policies.
With dozens of enterprise clients and 22 extra in pilot, progress is accelerating rapidly. The following chapter is all about giving corporations a completely autonomous knowledge safety layer that lets them undertake AI safely and confidently.
What’s certainly one of your favourite locations in and across the metropolis?
Black Mountain Wine Home — as soon as fall hits, it’s dimly lit and cabin-like, with an amazing wine listing that matches the season completely.
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