Marketing, Portfolio Development
Polymorphic CapitalCheck size: No Nataly-specific check size is public. Polymorphic's verified OpenVC-style profile lists firm-level initial bands spanning $250K–$3M, says it can lead, and covers pre-seed through Series B. Treat these as firm guidance rather than Nataly's authority; confirm the relevant partner, current allocation, stage and ownership target after intake.
Nataly's Polymorphic work sits at the application and portfolio-development edge: finding and supporting products that use web3 infrastructure to transform markets beyond crypto-native users, particularly social, payments, finance, data and AI. Her independent research lens maps entire technology stacks and searches for the bottleneck or value-capture layer—such as training data, packaging capacity, safety certification, integration, agent payment rails or the software/hardware split—while distinguishing headline market sizes from more reliable directional signals.
Founders outside immediate networks who can present a structured, reviewable case; application or middleware products that bring web3 principles to broad non-crypto markets; open social systems, programmable payment and data primitives; AI/robotics teams with a clear place in the stack; technologies becoming real through deployment rather than demos; evidence of where value accrues and which constraint controls revenue timing; and founders who welcome active communications and portfolio-development support.
Polymorphic's verified profile explicitly excludes NFT and Web3 Gaming. Other weak fits inferred from Nataly's research include projects supported mainly by inflated market-size forecasts, AI infrastructure that ignores foundry or packaging dependence, robotics pitches that blur software, hardware, data and integration economics, physical systems without safety/certification and recovery plans, agent payments without permissions or settlement design, and cold outreach too vague for a structured screening process.
Use the exact @Lakkti identity, Polymorphic's published contact/intake route or Nataly's verified Parley agent; a current firm profile also lists Telegram 'Lakkti.' She publicly says the firm is investing and will have its agent review projects and send feedback. Submit a concise blurb and deck with stage, round, instrument, traction, product link and why Polymorphic fits. Identify the application/middleware layer, target user beyond crypto natives, and how web3 is essential. For AI/deep tech, map the stack position, dependency bottleneck, deployment data, safety/certification and value capture. Expect follow-up questions, then ask which listed partner owns the decision and verify check parameters.
Locate a company across edge compute, simulation/world models, training data, foundation models, sensing, actuation, physical bodies, safety/certification and integration/service before judging its moat.
Use large forecast numbers as directional evidence, not precision; ground the thesis in adoption, bottlenecks, funding, standards and paid deployments.
Look beneath visible competitors for shared foundries, design houses, packaging capacity, datasets or infrastructure whose concentration may control every company's output.
For robotics, determine whether models, machines, deployment data or integration owns the learning loop, margin and customer relationship—and whether the supposedly secondary layer becomes a supplier.
In physical systems, certification, predictable behavior and safe recovery can determine when revenue begins; evaluate them as commercial milestones, not downstream compliance chores.
Use standardized initial data and automated follow-up to broaden access beyond known networks while escalating only the opportunities with clear fit to human review.
Ask whether web3 principles and infrastructure enable a concrete transformation for broad users rather than serving only a crypto-native audience.
Physical AI should be analyzed across edge compute, simulation, training data, foundation models, sensing, actuation, bodies, safety/certification and integration, with bottlenecks—not headline market sizes—driving value and deployment timing.
AI-chip diversity at the brand layer masks concentrated dependence on TSMC, a small set of design partners and scarce advanced packaging; the decisive diligence question is what packaging capacity a company actually controls.
Large robotics rounds now validate both foundation-model software and robot hardware, making ownership of deployment data and the layer that captures value the core strategic question.
European deep-tech specialists may offer sharper domain knowledge, while larger U.S. generalists often have greater follow-on capacity; founders should compare disclosed capital sources, stage behavior and who actually led relevant rounds.
No podcast appearances are linked yet. Ask Kit to check for interviews that reveal how this investor thinks.
“Treat the direction as the signal and ignore the totals.”
— https://www.linkedin.com/posts/nataly-laktionova_physical-ai-map-if-your-ai-industry-reading-activity-7500576407253721090-894Z
“The question to ask a company that has just announced its own chip is not how the chip performs.”
— https://www.linkedin.com/posts/nataly-laktionova_some-findings-ai-infrastructure-nvidia-activity-7494801804875120640-KZhH
Nataly Laktionova leads communications and supports the investment process, portfolio development and special projects at Polymorphic Capital; the firm's current roster titles her 'Marketing, Portfolio Development,' not Partner. Her stated Polymorphic interest is Web3 social. She previously worked at Apple, Yandex and EPAM, earned both a BA and MA from Moscow's Higher School of Economics, and also develops research and editorial work on AI infrastructure, physical AI, robotics and deep tech through Inside Deep Tech.