“Merchandise which can be cherished and utilized by clients don’t begin with what you wish to construct; they begin with what your clients want.”
– Des Traynor, co-founder of Intercom
AI startups attracted a document 46.4% of the full $209 billion raised in enterprise capital funding in 2024. This signifies a considerable enhance from lower than 10% a decade earlier. In response to the CB Insights 2024 State of Enterprise Capital report, whereas VC exercise considerably recovered from the low level of 2023, deal quantity was hit an 8 12 months low in 2024. Evidently it’s extra vital than ever to be considerate about what you’re constructing.
Requests for startups are a means for traders to speak what would possibly work and the place they’re actively on the lookout for startup groups. It’s not good after all, and nearly all of alternatives will come from entrepreneurs and never from traders, but it surely’s an excellent barometer of the present Zeitgeist in tech. It is a observe as much as a comparable publish I revealed in 2024.
Now could be one of the best time in historical past to be a builder. The golden age of innovation is right here, and I’ve compiled a listing of thrilling startup concepts for 2025, impressed by the most recent traits from A16Z, Y Combinator, Stripe, Conviction and different thought leaders. Let’s dive in.
Ycombinator’s RFS 2025
Ycombinator up to date its Requests for startups listing in December 2025, and whereas it’s very US centric (with a wink to a Trump administration and crypto pleasant regulation) it captures the present zeitgeist.
1. Authorities software program
- AI software program to automate authorities administrative duties
- Goal large-scale operations like kind processing, utility opinions
- Construct options for citizen-facing companies (DMV, permits, licenses)
2. Public security know-how
- Superior laptop imaginative and prescient: develop privacy-preserving surveillance
- Emergency response methods: reduce response instances and enhance coordination
- Neighborhood security platforms: bridge community-police communication hole
- Regulation enforcement effectivity instruments: scale back paperwork, enhance patrol time
3. US manufacturing
- Concentrate on automated manufacturing methods utilizing ML and robotics
- Observe Tesla’s Gigafactory mannequin for contemporary US manufacturing
- Goal industries with strategic significance (semiconductors, batteries)
4. Stablecoins 2.0
- Construct business-focused stablecoin administration platforms
- Develop straightforward integration instruments for builders
- Concentrate on cross-border funds and remittances
5. LLMs for chip design
- ASIC and FPGA optimisation instruments utilizing AI
- Goal 5–100x efficiency enhancements
- Concentrate on vitality effectivity (10–100x good points)
6. Fintech 2.0
- Construct AI-first monetary merchandise with out legacy constraints
- Goal underserved markets in insurance coverage and wealth administration
- Concentrate on international cost options
7. House firms
- Capitalise on 10x launch value discount
- Construct companies round satellite tv for pc purposes
- Create infrastructure for routine area entry
8. AI-aided engineering instruments
- Modernise CAD/CAM with AI help
- Simplify complicated engineering instruments
- Create accessible design validation instruments, give attention to physics simulation acceleration
9. A million jobs 2.0
- Create sustainable human-centric job platforms, give attention to jobs that AI can’t change
- Construct instruments for unbiased enterprise homeowners
A16Z massive concepts in Tech 2025
Andreessen Horowitz (A16z) means that the massive concepts in tech for 2025 are pushed by developments in AI, evolving client behaviours, and the rising convergence of know-how with varied industries. The predictions provide vital alternatives for startups throughout completely different sectors. Listed below are some key areas and associated startup alternatives:
AI for the Bodily World
? The resurgence of nuclear vitality: A16z predicts a surge in demand for nuclear vitality, pushed by regulatory reform, public enthusiasm, and the rising vitality wants of AI information centres. This presents alternatives for startups to develop applied sciences that help the secure and environment friendly operation of nuclear energy crops, together with superior reactor designs, waste administration options, and grid integration methods.
? Jobs crossing the hardware-software chasm: The rise of AI in {hardware} contexts is creating a requirement for engineers and technicians expert in each {hardware} and software program. Startups can capitalise on this by offering coaching and improvement packages for these specialised roles, or by constructing instruments and platforms that bridge the hole between {hardware} and software program improvement.
? Decentralised defence: A16z anticipates elevated reliance on autonomous methods and AI in army operations, requiring sturdy edge computing and energy options in difficult environments. Startups can develop specialised {hardware} and software program for decentralised defence purposes, specializing in areas like ruggedised edge computing gadgets, energy-efficient energy sources for distant deployments, and safe communication applied sciences for autonomous methods.
AI Augmenting Human Capabilities
?“AI mind”: A16z predicts the rise of personalised “digital brains” powered by AI, leveraging private digital information to assist people perceive themselves higher, talk extra successfully, and enhance productiveness. Startups can develop purposes that construct upon this idea, providing options like personalised insights, AI-assisted communication instruments, and AI-powered productiveness enhancements. This aligns with our earlier dialogue about Ark Make investments’s prediction of AI reducing every day work hours by bettering productiveness.
? Actual-time AI: The emergence of real-time AI is remodeling inventive workflows and enabling novel purposes like AI bandmates and personalised schooling. Startups can give attention to growing real-time AI instruments for particular inventive domains, resembling music manufacturing, video enhancing, or interactive storytelling.
? Hyper-personalised information work: A16z expects AI instruments to turn out to be extra personalised, capturing particular person kinds and preferences in information work duties like writing and presentation creation. Startups can develop AI-powered instruments that allow personalised content material creation, providing options like fashion adaptation, tone matching, and customized formatting.
AI-Pushed Enterprise Transformation
? Regulation as code: A16z sees a possibility for startups to make use of LLMs to simplify compliance by turning complicated laws into simply comprehensible queries. This aligns with our earlier dialogue on the potential for AI-aided engineering instruments to automate information work and enhance effectivity. Startups might construct platforms that translate laws into code, enabling companies to automate compliance processes and scale back the burden of staying updated on regulatory adjustments.
? Ripping out legacy methods: A16z predicts that AI is prompting enterprise patrons to exchange legacy methods of document with dynamic, AI-powered options. Startups can capitalise on this pattern by growing trendy, AI-native methods of engagement that supply superior performance, flexibility, and person expertise in comparison with conventional methods.
? Tremendous staffing in healthcare: A16z believes AI will function a “tremendous staffing” platform in healthcare, addressing the staffing disaster and automating administrative duties. Startups can give attention to constructing AI-powered options that increase healthcare staff, streamline administrative processes, and enhance affected person care.
Democratising Entry and Possession
? Democratising well being by way of tech: A16z emphasises the position of know-how in empowering sufferers to take management of their well being. Startups can develop accessible and user-friendly instruments for private well being monitoring, information evaluation, and personalised well being suggestions.
? Tokenising unconventional belongings: A16z predicts a wider adoption of tokenisation throughout varied sectors, enabling liquidity for beforehand inaccessible belongings. Startups can construct platforms and companies that facilitate the tokenisation of numerous belongings, creating new alternatives for funding, possession, and participation within the digital financial system.
A16z’s insights into the large concepts for 2025 emphasise the transformative energy of AI and its potential to create new alternatives for startups throughout a variety of industries. By embracing these traits and growing revolutionary options, startups can play a pivotal position in shaping the way forward for know-how and its affect on society.
Sarah Guo and Conviction Capital
Sarah Guo is the founding father of Conviction, an early stage VC fund, Embed is an acceleration program launched by Conviction, investing $150K into pre-seed AI startups. Conviction believes that the abundance of AI know-how will permeate each a part of the financial system, creating alternatives for startups in each conventional and rising sectors. They spotlight a number of areas ripe for disruption and provide options for a way startups can capitalize on these traits. Many of those concepts align with the predictions we mentioned from Y Combinator, Ark Make investments, and Andreessen Horowitz.
Listed below are a few of the massive concepts in tech for 2025 based on Conviction, with a give attention to startup alternatives:
AI for the Bodily World:
? The New Datacenter: The shift in datacenter workloads in the direction of AI, notably with the dominance of Nvidia GPUs, presents alternatives for startups to develop different chip architectures, optimised for AI workloads like transformers and matrix math. Conviction suggests exploring choices like chips reconfigured for decreased bandwidth necessities, alternate options to NVLink, full-stack optimised methods for particular workloads, and latency-bound inference options. Additionally they spotlight the demand for a second supply to Nvidia, creating alternatives for partnerships with firms like AMD.
? Understanding and Producing the (3D) World: Regardless of developments in basis fashions, producing high-fidelity 3D fashions stays difficult. Conviction sees alternatives for startups to develop options for producing 3D belongings for non-toy purposes, notably in areas like leisure, schooling, and commerce. Analysis into multimodal studying to deduce 3D information from 2D sources and environment friendly information era strategies will likely be essential. Additionally they see a longer-term alternative in tackling the “excessive precision” downside of producing 3D belongings appropriate for demanding purposes like development and manufacturing. Startups can discover assistive tooling that helps engineers slender down their design area or carry out menial duties. Additionally they counsel combining generative fashions with simulation and post-processing strategies to enhance the standard of generated outputs.
AI Augmenting Human Capabilities:
? Lastly, Manageable Metadata: Conviction believes that AI can revolutionise information cataloging and metadata assortment, a historically guide and painful course of. They see a possibility for startups to develop AI-powered options that automate metadata era, determine information high quality points, apply insurance policies, and extract context from person interactions. These options will disrupt legacy information catalogs and turn out to be a keystone within the AI information stack.
? Subsequent-Gen Autocomplete: Conviction sees a possibility to create a “Copilot-like” expertise for varied computing duties, notably e mail and different authoring actions. Startups can develop AI-powered browser extensions that be taught a person’s writing fashion and supply personalised autocomplete options, making them extra environment friendly. They counsel leveraging multimodality capabilities to create a “second mind” that may perceive varied enter kinds like screenshots and voice notes. Conviction believes that incumbents will likely be sluggish to undertake this know-how, creating area for brand spanking new entrants. They emphasise the significance of intelligent client distribution, pace, and privateness, suggesting a hybrid native/cloud method.
AI-Pushed Enterprise Transformation
? Possession is the New Gross sales: Conviction challenges the normal method of promoting AI instruments to fragmented industries, arguing that it is perhaps more practical to personal and enhance these companies top-down. They see alternatives for startups to amass and function companies in sectors like HOAs, BPOs, accounting, dev retailers, and legacy software program, utilizing AI-based automation to drive worth.
? Automated Root Trigger Evaluation: Conviction believes that AI can considerably enhance incident decision instances and the on-call expertise for engineers. Startups can develop AI brokers that analyse logs and metrics to determine root causes, counsel fixes, and generate post-mortems. They counsel leveraging present runbooks and the hypothesis-driven nature of debugging to construct efficient options.
? Your Private Vendor: Conviction sees a possibility to empower small companies with AI-driven instruments that handle their digital presence throughout varied platforms. Startups can develop options that generate optimised product listings, together with descriptions, photos, and movies, and A/B take a look at them to enhance conversion charges. Additionally they counsel utilizing AI to crawl marketplaces, determine traits, and supply suggestions for brand spanking new merchandise or untapped audiences.
Democratising Entry and Possession
? The All-Seeing Eye: Conviction highlights the necessity for extra refined instruments to know and manipulate the rising quantity of video information. They see alternatives for startups to develop AI-powered video indexing and evaluation options, notably within the bodily safety monitoring business. They counsel rethinking {hardware} and storage within the context of semantic video understanding and on-device models18.
? The (Sensible, Social) Sims: Conviction believes that AI can create a brand new era of leisure experiences by populating digital worlds with participating and attention-grabbing AI characters. Startups can develop AI-driven video games and platforms the place customers can work together with AI characters which have their very own “lives,” reminiscences, and social dynamics18. They emphasise the potential for mass personalisation, the place AI generates content material and experiences tailor-made to particular person preferences.
? Accessible Authorities Companies: Conviction sees a possibility to make use of AI to simplify entry to authorities companies, making it simpler for residents to navigate complicated methods and procure essential help. Startups can develop AI-powered chat interfaces that information customers by way of processes, reply questions, and replace information, finally bettering effectivity and lowering administrative prices.
Different Alternatives
? Knock My SOX (Compliance) Off: Conviction challenges startups to develop an AI-driven answer for Sarbanes Oxley compliance, automating duties like controls testing, monetary course of evaluation, and danger evaluation. They consider that AI can get rid of a lot of the toil related to compliance whereas preserving the ideas of independence, monitoring, and govt duty.
? Save Us Cash: Conviction sees a possibility for AI brokers to constantly monitor costs, combination demand, negotiate offers, and make buying choices on behalf of customers, just like earlier ideas like Honey and Paribus. Startups can develop options that leverage net crawling, worth monitoring, and negotiation capabilities to assist customers get monetary savings on purchases.
? Loosening the Legacy Grip: Conviction encourages startups to problem the standard knowledge that legacy methods are too troublesome to modernise. They particularly spotlight the chance to modernise mainframe purposes, citing the potential to unlock $100 billion in cloud spend. Startups can develop AI-powered options that extract enterprise logic, translate code to trendy languages, generate documentation, and map schemas, making it simpler emigrate mainframe purposes to the cloud.
? Many, Many, Supplies: Conviction highlights the potential for AI to revolutionise supplies science, citing current analysis demonstrating the power to foretell steady buildings and synthesise novel compounds. They see alternatives for startups to develop AI-driven options for materials proposal and synthesis, with purposes in varied industries, together with battery know-how and energy-efficient manufacturing.
? Internet Information APIs: Conviction factors out the constraints of present net content material APIs, which hinder the event of superior AI purposes that require entry to reside, dependable data. They see a possibility for startups to construct extra complete and versatile net information APIs that present entry to web page content material, parsed outlinks, edit historical past, and different invaluable information. They counsel specializing in particular verticals and leveraging buyer alerts to bootstrap an index.
? At all times Choose Up the Cellphone: Conviction identifies the missed alternative in unanswered enterprise calls, notably for small companies. They consider that advances in voice era and LLMs are nearing the purpose the place AI can deal with many transactional calls. Startups can develop options that mix AI-powered voice assistants with distribution channels, buyer journey design, guardrails, and workflow automation to deal with this want.
? Autonomous HR (and IT) Helpdesk: Conviction sees the potential for AI to dramatically enhance the effectivity and worker expertise of HR and IT helpdesk capabilities. They consider that AI-powered conversational search interfaces can change conventional service catalogs and kinds, offering workers with fast and correct solutions to their questions. Startups can develop options that leverage LLMs to know and reply to pure language queries, entry related documentation and methods of document, and automate HR and IT processes.
10 VC funding themes in 2025 based on Stripe
Stripe highlighted the greatest international traits impacting startups in 2025, specializing in evolving buyer wants and the ability of AI. Stripe anticipates these traits to create vital enterprise alternatives for brand spanking new and present firms. Listed below are some key areas and startup alternatives:
- Generative AI and Autonomous Know-how:
- Hyper-personalisation: AI can personalise advertising and marketing campaigns and product suggestions at a scale unmatched by human groups, creating extremely customised experiences for a lot of customers.
- Autonomous Logistics: Startups can leverage AI for fleet administration, self-operating warehouses, and supply drones to optimise prices and supply instances.
- Sensible Manufacturing: AI can predict upkeep wants, automate high quality management, and enhance manufacturing line precision. This permits smaller producers to compete with established firms.
- Decentralised Finance (DeFi) and Fintech:
- Decentralised Monetary Methods: Startups can utilise DeFi and blockchain know-how to create monetary methods that bypass conventional intermediaries like banks. This may be particularly impactful in rising markets the place entry to conventional banking is proscribed.
- Blockchain-Primarily based Lending: Sensible contracts can facilitate safe lending transactions with out conventional credit score checks or prolonged approval processes.
- Embedded Finance: Integrating monetary companies into non-financial platforms is a rising pattern. Fintech startups can embed cost options straight into retail and repair platforms. Purchase Now, Pay Later (BNPL) options are increasing past conventional retail into sectors like healthcare, journey, and schooling.
- Logistics and Manufacturing Improvements:
- AI-Pushed Stock Administration: AI-based methods can analyse real-time information to foretell demand, optimise inventory ranges, and scale back overproduction.
- Provide Chain Transparency: Blockchain options can create traceable provide chains, constructing belief with consumers and guaranteeing compliance, notably in industries like meals, style, and electronics.
- Hyper-Personalised Choices:
- Ecommerce and Predictive Algorithms: AI can anticipate buyer wishes by analysing behaviour, shopping patterns, and buy historical past, enabling platforms to make personalised options and create customised experiences.
- Information-Pushed Personalisation: AI can analyse particular person buyer information to personalise parts starting from e mail advertising and marketing to product suggestions.
- Local weather Know-how and Sustainable Client Items:
- Inexperienced Know-how: Startups specializing in clear vitality options, resembling superior photo voltaic panels, vitality storage methods, and microgrids, are poised for progress. Equally, waste administration startups utilizing AI to optimise recycling processes current one other alternative.
- Round Economic system: Startups growing genuinely eco-friendly alternate options are attracting consideration. Vertical farming, lab-grown meat, and zero-waste packaging options are examples of this rising pattern.
- Vertical Software program-as-a-Service (SaaS) and Trade-Particular Options:
- Trade-Particular Customisation: Vertical SaaS gives tailor-made options that meet the distinctive wants of particular sectors like authorized, agriculture, and healthcare. These options can combine with present business know-how, adjust to laws, and enhance workflows.
- New Purposes of Web3:
- Digital Id Platforms: Startups can create platforms the place people management their information and identities with out reliance on centralised authorities.
- Decentralised Social Networks: Blockchain-based social networks provide higher transparency and person management, addressing issues related to conventional social media platforms.
- NFT-Primarily based Membership Packages: NFTs can create unique membership packages and revolutionary options in areas like occasion ticketing and digital possession verification.
- Actual Property and Gaming: Web3 affords alternatives in actual property by way of tokenised property possession and fractional possession fashions. In gaming, decentralised platforms allow gamers to personal and commerce in-game belongings utilizing blockchain know-how.
- Workforce Tendencies:
- Hybrid Work Options: Startups can develop instruments for managing hybrid groups, scheduling workplace days, and fostering collaboration throughout time zones.
- Expertise Marketplaces: Platforms connecting specialised freelancers and fractional staff with firms are creating new employment fashions.
- Worker Wellness and Productiveness Instruments: Startups can deal with the challenges of hybrid work by growing instruments centered on worker well-being and productiveness.
- On-Demand Startups:
- Darkish Shops: Small, localised warehouses optimised for fast on-line order fulfilment create alternatives for startups to satisfy client demand for fast gratification.
- Prompt Pay: Startups enabling real-time entry to earnings for staff, notably within the gig financial system, are remodeling cost methods.
- On-Demand Healthcare: Startups offering on-demand healthcare companies, resembling digital consultations and home calls, provide options for instant entry to care.
- Acutely aware Consumerism and Moral Startups:
- Moral Labor Practices and Honest Commerce: Startups prioritising honest wages, moral sourcing, and transparency in provide chains are attracting a rising buyer base.
- Social Good: Corporations integrating social good into their enterprise fashions whereas sustaining profitability are demonstrating the viability of mixing goal with revenue.
Requests for Gaming Startups from A16Z’s Speedrun
A16Z Video games Speedrun invests in each gaming studios and applied sciences. Their newest request for startup proposals outlines their funding focus areas throughout gaming know-how, platforms, and interactive experiences:
Gaming & Platform Innovation:
- Telegram recreation groups with experience in distribution, monetization, and viral progress
- Absolutely on-chain video games enabling gamers to fork, mod, and personal the core recreation itself
- Crypto video games growing distinctive digital economies
- Recreation studios creating genre-defining video games and generational companies
- Looking for scrappy builders with sturdy theses and weird expertise who push boundaries in recreation loops, enterprise fashions, and platforms
- Wanting throughout a number of platforms (cell, PC/console, Discord, web3, AR/VR) and genres (roguelikes, aggressive PvP, MMOs)
Interactive Know-how:
- Excessive-quality interactive experiences delivered as shortly as photos or video clips
- AI-powered platforms that mimic or improve distinctive real-world conduct
- Interactive platforms leveraging new applied sciences like AR/VR, PSP, and Meta Quest 3
Enterprise Purposes:
- Founders utilizing interactive 3D recreation know-how for enterprise and past
- Interactive 3D instruments for firm design, visualization, and simulation wants together with:
- Product, architectural, and inside design
- Advertising and marketing and immersive coaching
- Digital twins
- Artificial information era
- Reinforcement studying in digital worlds
- Goal industries embrace protection, actual property, style, e-commerce, automotive, robotics, manufacturing, healthcare and extra
The subsequent massive factor in 2025 – VC Assortment
50 of know-how’s high thinkers weigh in on the 12 months forward on Nikhil’s e-newsletter.
AI Brokers
AI emerges because the dominant theme with predictions encompassing varied features of its improvement and affect. The consultants spotlight the potential of AI brokers, predicting their rise in several kinds, together with:
- Agentic apps
- AI brokers able to dealing with complicated, multi-step duties
- Widespread adoption of AI brokers by each people and companies
- AI transitioning from assistants to collaborators
- A increase in voice AI purposes resulting in human-like experiences
- New person interfaces that enable people to handle work delegated to AI
These predictions spotlight the necessity for startups to give attention to growing extra intuitive and complex interfaces that allow seamless collaboration between people and AI. This might embrace developments in pure language processing, voice recognition, and visible interfaces that facilitate higher understanding and management over AI-driven processes.
Past brokers and interfaces, one other space of excessive potential is the growth of AI purposes throughout varied sectors, together with:
- Client AI: New social apps, interactive media, and AI-driven instruments for social networking and leisure.
- AI-Generated Content material: Commoditized AI content material creation, notably in video era, will reshape how content material is produced and consumed.
- Actual-Time AI: The rise of real-time AI, pushed by sooner processing speeds, will unlock new purposes requiring prompt computation.
- AI for the Mainstream: AI will turn out to be extra built-in into on a regular basis services and products, seamlessly enhancing person experiences with out essentially being explicitly labeled as “AI.”
These predictions counsel an unlimited panorama for startups to discover. Alternatives exist in growing novel AI-powered purposes for customers, creating instruments and platforms for AI content material era, and leveraging real-time AI capabilities for varied use instances.
Different notable predictions and startup alternatives:
- AI-Native {Hardware}: The event of computer systems and gadgets particularly designed for AI, optimizing for native inference and AI interactions.
- AI-Native Organizations: The emergence of “cognicos,” firms constructed on an AI-native know-how stack, with people enjoying a extra strategic position in managing and orchestrating AI-driven processes.
- Simulation as a Service: A brand new enterprise mannequin the place AI fashions simulate choices and conversations to optimize outcomes for people and companies.
- Consequence-Primarily based Pricing Fashions for AI: AI firms shifting from conventional software program pricing to fashions primarily based on the worth and outcomes delivered.
Past the realm of AI
- Software program Improvement: The rise of AI coding assistants will democratize software program creation, resulting in a surge in new merchandise and purposes.
- Crypto-Fintech: Purposes constructed on stablecoins and the revival of crypto-fintech merchandise.
- Healthcare: Continued progress in client healthcare, with a give attention to information availability and portability, and developments in GLP-1 medicine.
- Robotics: Developments in general-purpose robots will rework industries reliant on bodily labor.
- Protection: Elevated protection spending and startup exercise, pushed by components like AI developments and geopolitical tensions.
Remaining ideas
The panorama for startups in 2025 is brimming with alternative, pushed by technological developments, evolving client expectations, and a world want for revolutionary options. At Remagine Ventures, we’re actively looking for out these founders who can capitalise on these traits and form the way forward for know-how and enterprise. It’s by no means to early to ask for suggestions. Time to construct!