AI agents (2025)
Licence to kill SaaS startups
Last updated: 10 Feb 2025
Market 101
Potentially omnipotent and sometimes even useful: AI agents are blooming like never before, with good reason(ing). OpenAI’s release of its o1 — and soon o3 — and its operators, which can autonomously perform tasks on cloud-hosted search engines, continues to send shockwaves across the tech community, even helping to convince Y Combinator that fully half of its Spring 2025 intake should be AI agent startups.
Sifted’s AI agent definition is a tool that acts autonomously to complete a wide range of tasks without human intervention (beyond prompting and supervision). That includes complex self-trained agents, as well as simpler LLM wrappers, which act as bridges between your app and the language model. We also have to imagine that agents will soon be able to create agents of their own.
Today, almost anyone can create a powerful agent in a few clicks. Agents can be custom-built on entire knowledge bases, datasets, feeds and publicly available sources; they can draw from a network of LLMs; they can be instructed to imitate a brand’s voice, trained to learn from feedback, work 24-hour shifts, and complete tasks in minutes, if not seconds. The question becomes: what won’t they be able to do?
Like other AI applications, agents are as vertical as tech can get, though they’re most obviously bursting onto customer service and sales functions — the low hanging fruit, or simply the most “investable” areas so far. Soon there’ll be agents for more advanced applications in healthtech and advanced research.
Agents are the closest to humans as AI can get and we’re already seeing Cyberpunk-like ads urging companies to “stop hiring humans” plastered all over San Francisco. We’re hearing all sorts of takes on the replaceability of people and the gains in efficiency, time and the rest. Agents look nice and could be lighter on company budgets, but they haven’t yet faced their toughest test : regulators and humans who enjoy their jobs and want to keep these agents at bay a little longer.
Geo map
Deals tracked by Sifted (since 2024)
Funding charts
View from the ecosystem
An interview with Convergence’s cofounder and CEO, Marvin Purtorab
London-based Convergence AI raised Europe’s largest pre-seed round of 2024: a $12m deal led by Balderton Capital. It has since built its first prototype AI agent — named Proxy — which the company claims is the best performing in the market on a series of metrics. “In the long run, the aim is to build anything that can get arbitrary work done”, says CEO/cofounder Pourtorab. What exactly Proxy will be used for, Convergence is still figuring out.
On B2C vs B2B
The company is still experimenting with its target audience. “The AI agent space is just over a year old,” says Purtorab. “The most valuable thing for us at the current stage is to see what people use [agents] for. The reason why we went mainly [to the] consumer first is because it helps us gather a lot of information on what users want to do with it”.
But he sees Proxy, like other agents, becoming an enterprise-focused product in the long-run, mostly because “people probably prefer to automate things at their job versus automating things in their personal life.” And those use cases are already emerging through behavioural analysis.
On monetisation
As with any new tech, pricing strategies will partly depend on client focus. For now, the most common AI agent revenue stream is pay-per-seat and/or subscription models, but that’s still up for debate.
“Some people are trying pay-per-solved-tasks, which is attractive because AI agents aren’t that powerful yet. But agents are getting more powerful every single week, if not day, and we’re going to have very general agents in a year or two”. At that point, he says that pay-per-task will become unattractive: “That's the reason why we switched, even like humans, to salary pay. We’re basically a subscription to human labour”.
On competition & infrastructure providers
In a space where multi-billion companies ship products at the infrastructure level, it may be disheartening for startups to make a break for it. “We want to give people the ability to build their own agents, but I would prefer everyone to have that ability, and not just specialised AI firms that use our API to then sell another product. This should be so simple that everyone can do it”.
The AI agent world is already getting crowded. “There's tons of AI companies and agent companies out there now, but most of them are vertical agents focusing on one use case at a time. I don't think that humans will have these tens of thousands of different vertical agents. You need to work at a higher level, which is a general interface”.
On public resistance & regulation
The big worry about AI agents is that they will eventually replace humans. “In general, there's initial resistance to any technology. But a product gets adopted if it makes people's lives better, not worse”. On those lines, Purtorab believes the productivity bumps from AI agents won’t necessarily translate to aggressive cost-cutting in companies.
“When automation keeps growing, we probably need to tax it quite strongly — it’s natural. I don’t think there’s anything bad about that,” he says. Though in the long-term, things will get more blurry. “If we get to a point where AI takes whole jobs, I’m not sure what the social contract will be. [e.g. reskilling, or the birth of publicly subsidised incomes through “automation” taxes]. In that scenario, you’re essentially taxing future profits of AI companies.”
Benchmarks and investors tracked by Sifted
Sifted take
Whether we like it or not, AI agents are here to stay. There will be many of them in the not-so-distant future, and typical market forces will determine which ones will survive. Understanding (actual) use cases is tough, and so is determining pricing strategies and agents' effects on labour (regulators will have something to say on this). But the agentic wave, both vertical and general, is well under way and most of us will soon be automating away our most boring work tasks.
Early stage startups to watch
An AI platform to build web apps with natural language. It counts Hummingbird, byFounders and angel investors including figures from Deepmind, Shopify, Voi and Creandum in its cap table.
Round
Seed
Valuation
Undisclosed
Date
2024
Size
€6.8m
Lakera is an AI agents security platform. It counts AWS, Dropbox and Pearson in its client table.
Round
Series A
Valuation
Undisclosed
Date
2024
Size
€18.4m
AI-powered workspace for law firms and legal professionals. It secured three funding rounds in 2024 with continued backing from repeat investors Benchmark and Y Combinator.
Round
Series A
Valuation
Undisclosed
Date
2024
Size
€22.7m
AI-powered phone agents designed to optimize customer interactions, backed by investors like Elaia Partners and Speedinvest.
Round
Seed
Valuation
Undisclosed
Date
2023
Size
Seed
Ones to watch
Agemo
€3.7m
€3.7m
-
AI Medical Technology
€2.7m
€924k
-
Aignostics
€53.8m
€31.3m
-
Apify
€4.3m
€2.8m
-
Artificial Intelligence Labs
€415k
€415k
-
Artificial Labs
€26.7m
€9.3m
-
Assisterr
€1.6m
€1.6m
-
Auquan
€9.1m
€4.1m
-
Axyon AI
€9.7m
€2.1m
-
Beem
€960k
€960k
-
Buddy.ai
-
€10.2m
-
CausaLens
€46m
€40.9m
-
Cerrion
€4.6m
€4.6m
-
clare&me
€4.9m
€3.7m
-
Cloudsquid
€920k
€920k
-
Cognigy
€152.1m
€90.9m
-
Cominty
€1.2m
€1.2m
-
Convergence
€11m
€11m
-
CostCare AI
€483k
€483k
-
csky.ai
€1m
€1m
-
cureVision
€1.9m
€92k
-
DeepJudge
€10.6m
€9.3m
-
DeepOpinion
€15.4m
€11m
-
Diffblue
€65.9m
€5.8m
-
DigitalKin
€400k
€400k
-
DuckDuckGoose AI
€1.3m
€1.3m
-
Dust
€200m
€14.8m
-
ElevenLabs
€340.3m
€172.7m
-
elv.ai
€500k
€500k
-
Fetch.AI
€108m
€36.9m
-
Genesy
€5.5m
€5m
-
Genie AI
€23.5m
€16m
-
GetVocal AI
€2.7m
€2.7m
-
GetWhy
€45.4m
€8m
-
Gradient Labs
€3.3m
€3.3m
-
Granola
-
€18.4m
-
Grasp
€1.8m
€1.8m
-
H
-
€203.3m
-
HockeyStack
€22.4m
€24.1m
-
Hopsworks
€13.1m
€2m
-
Hypefy
€1.7m
€1.7m
-
Hypertype
€1.4m
€600k
-
Implement AI
€302k
€302k
-
Indigo.ai
€12.5m
€10m
-
Inspeq
€1m
€1m
-
Interloom
-
€2.8m
-
Intryc (formerly Sentify)
-
€1m
-
Jentic
€4m
€4m
-
Juna.ai
€6.9m
€6.9m
-
Juno AI
€966k
€966k
-
Kapa
€3.6m
€2.9m
-
KNIME
€47.6m
€27.5m
-
Lakera
€28.9m
€18.4m
-
LegalFly
€18.1m
€15m
-
Leya law
€32.7m
€22.7m
-
Linkup
€3m
€3m
-
Lleverage AI
€2m
€2m
-
LogicStar
€2.9m
€2.9m
-
longform.ai
€410k
€300k
-
Lovable
€6.8m
€6.8m
-
Luzia
-
€17.7m
-
Maki
€32m
€26m
-
Moveo.AI
€2.8m
€2.3m
-
Naq
€4.6m
€3m
-
Neople
€7.5m
€6m
-
Neuralk-AI
€3.8m
€3.8m
-
nexos.ai
€7.8m
€7.8m
-
Octomind
€4.5m
€4.5m
-
octonomy
-
€5m
-
OpenFi
€585k
€585k
-
Pagent
€857k
€857k
-
Parloa
€91m
€61.7m
-
PolyAI
€114.4m
€46.2m
-
Qdrant
€35.2m
€25.8m
-
Rauda AI
€870k
€520k
-
Rayscape
€2m
€461k
-
Realm
-
€1.7m
-
Reshape Biotech
€27.2m
€18.4m
-
Robin AI
€63.4m
€23.4m
-
Salesforge
€462k
€462k
-
Sana
€133.1m
€50.6m
-
Solidroad
€1.2m
€1.2m
-
Syllog AI
€500k
€500k
-
Synthesia
€326.8m
€174.7m
-
Synthflow AI
€8.8m
€6.8m
-
Tana
€13.6m
€13.6m
-
Tandem Health
€8.8m
€8.8m
-
Tengo
€3m
€3m
-
The QA Company
€2.8m
€2.8m
-
Topo
€1.5m
€461k
-
Turbotic
€10.9m
€2.3m
-
Uman
€1.9m
€1.9m
-
Vectorview
€23.1m
€462k
-
Vsim
€23.3m
€19.8m
-
Wobby
€1.1m
€1.1m
-
Xaver
€5m
€5m
-
xpln.ai
€7m
€7m
-
ZAION
€23m
€11m
-
Zylon
€3.1m
€2.9m
-
Europe’s success stories
Who early stage startups are up against
(Pre-)Seed
Series A
Series B
Series C
Series D+
IPO/Exit
Berlin-based company developing an enterprise contact centre AI platform. Parloa closed a €61.7m Series B in 2024, which involved EQT Ventures, Mosaic Ventures and football player Mario Götze among others.
(Pre-)Seed
Series A
Series B
Series C
Series D+
IPO/Exit
An enterprise conversational AI technology for customer and employee support process automation which recently secured a €100m Series C round from DN Capital, Insight Partners, Eurazeo and DTCP.
Sources
Data sources
Sifted | Proprietary data
News articles
AI agent startups: 18 companies VCs are watching in Europe | February 2025 | Sifted
The next act of GenAI: How to get AI ‘agents’ working like humans | May 2024 | Sifted
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