The first step to automating a process is understanding it, a task that traditionally consumes months of consultant time and hundreds of thousands in fees. Ares Intelligence, a London-based startup, is betting that a series of short voice interviews with employees can do the same job in a fraction of the time. The company’s AI-powered platform interviews a workforce, identifies repetitive work and bottlenecks, and converts those findings into a prioritized roadmap for AI adoption [aresintelligence.ai, retrieved 2026]. The bet is that structured data gathered directly from the source is faster, cheaper, and more actionable than a traditional stakeholder analysis.
For its early customers, the value proposition is measured in weeks and pounds. Words+Pixels, a PR firm, says Ares interviewed its team over two weeks and identified around £57,000 a year in recoverable capacity [aresintelligence.ai, retrieved 2026]. A more complex case involved RESVION, a private equity firm, which used Ares to analyze its first investment, a minibus manufacturer called Tremonia Mobility GmbH. The firm says Ares generated insights in four weeks that would normally take a new leader a year to assemble, identifying potential savings in the millions [LinkedIn, retrieved 2026]. The pitch is not just about finding problems, but about delivering a ranked implementation plan tied directly to what employees said.
The Wedge: Voice as a Data Source
Ares’s wedge is its method of data collection. Instead of relying on leadership interviews or process documentation, the platform conducts short, structured voice interviews with employees about their roles, tools, workflows, and frustrations [aresintelligence.ai, retrieved 2026]. This approach aims to surface operational issues that conventional top-down discovery might miss. The output is not a generic AI-strategy report but a set of recommendations explicitly linked back to employee testimony. For leadership teams and private equity operators, this promises a faster, evidence-based path to value creation, compressing a consultancy’s typical 6-12 month timeline into a matter of weeks [LinkedIn, retrieved 2026].
The Team and the Seed
The founders bring a blend of enterprise automation experience and technical speed. CEO Matt Falconer previously worked on discovery workshops at Automation Anywhere after starting his career at IBM as a software engineer at 18 [Business Matters, October 2026]. He and CTO Alfie Ranstead are also co-founders of Instruct, a company backed by European VCs Lakestar and Creandum [aresintelligence.ai, retrieved 2026]. Ranstead, a full-stack builder, was 21 when Ares was founded in 2026 [EU-Startups, October 2026]. The team’s background in process discovery and rapid technical execution informed the product’s design.
In October 2026, the company raised €2.6 million (approximately $2.6 million) in a seed round, though the lead investor was not disclosed [EU-Startups, October 2026]. The capital is presumably aimed at scaling the sales and delivery motion beyond its initial proof points.
Seed Round (Oct 2026) | 2.6 | M USD
Early Traction and the Private Equity Angle
Ares’s stated customer base reveals a focus on two primary segments: professional services firms and, more notably, private equity. The company lists Words+Pixels (a PR agency), HyBird, RESVION, and Tremonia as customers [aresintelligence.ai, retrieved 2026]. The RESVION case study is particularly telling for the enterprise sales motion. The PE firm brought Ares into its first investment to understand the business operations and now reportedly uses it during the first weeks of its standard 180-day investment plan [aresintelligence.ai, retrieved 2026]. This suggests a repeatable, post-acquisition diligence use case with a clear budget owner,the operating partner tasked with creating value.
The table below outlines the early customer engagements and their stated outcomes.
| Customer | Segment | Stated Outcome | Source |
|---|---|---|---|
| Words+Pixels | PR Agency | £57k/year in recoverable capacity identified in two weeks. | [aresintelligence.ai, retrieved 2026] |
| RESVION / Tremonia | Private Equity | Millions in potential savings identified in four weeks. | [LinkedIn, retrieved 2026] |
| HyBird | Operating Business | Unnamed bottlenecks surfaced; insight-to-action accelerated 3x. | [aresintelligence.ai, retrieved 2026] |
The Procurement Questions
The model is compelling, but it introduces new questions for the procurement cycle. The core risk is that Ares is selling a point-in-time diagnostic. The real test of value is not the roadmap itself, but whether the recommended AI projects are successfully implemented and deliver the promised ROI. The company’s renewal motion is therefore unproven; will customers pay annually for updated scans, or is this a one-time consulting tool productized into software? Furthermore, while voice interviews may uncover hidden inefficiencies, they also depend on employees being candid. The platform’s effectiveness hinges on its ability to build trust and extract meaningful data in a short interaction.
The competitive set is not other AI platforms, but the incumbent way of working.
- Management Consultants. The primary displacement target is the traditional operations or IT consultancy engaged for discovery and strategy. Ares competes on speed and cost.
- Process Mining Software. Tools like Celonis or UiPath Process Mining automatically discover processes from system logs. Ares complements these by capturing the qualitative "why" behind the workflow, which system data often misses.
- Internal Strategy Teams. For larger enterprises, Ares could augment or accelerate the work of internal operational excellence or digital transformation groups.
For now, the ideal customer profile is a leadership team under pressure to show rapid progress on AI adoption, or a private equity firm with a mandate to create operational value in a newly acquired company within the first 100 days. They have budget for consulting but are frustrated by the time lag. The bet for Ares is that this ICP is numerous enough, and its solution standardized enough, to build a scalable SaaS business around a service that has always been bespoke.
The next twelve months will be about proving that repeatability. The key milestone to watch is whether Ares can convert its early private equity beachhead into a multi-deal relationship with a single firm, and begin landing its first enterprise-scale deployments with named, global customers. Another seed round would be logical to fund that sales push, but the more telling signal will be the announcement of a follow-on engagement with an existing customer,the first proof of a renewal.
Sources
- [aresintelligence.ai, retrieved 2026] Ares Intelligence | Find Where AI Creates Business Value | https://aresintelligence.ai/
- [aresintelligence.ai, retrieved 2026] Meet Ares | Ares Intelligence | https://aresintelligence.ai/meet-ares
- [aresintelligence.ai, retrieved 2026] How a PR firm surfaced £57,000 a year in recoverable capacity | https://aresintelligence.ai/case-studies/words-and-pixels
- [Business Matters, October 2026] Getting to know you: Matt Falconer, CEO, Ares Intelligence | https://bmmagazine.co.uk/profiles/matt-falconer-ares-intelligence-ai-adoption/
- [EU-Startups, October 2026] EXCLUSIVE: London’s Ares Intelligence raises €2.6 million to turn employee insights into AI adoption plans | https://www.eu-startups.com/2026/10/exclusive-londons-ares-intelligence-raises-e2-6-million-to-turn-employee-insights-into-ai-adoption-plans
- [LinkedIn, retrieved 2026] Simon Shen - Principal at Ares Management, L.P. | https://www.linkedin.com/in/simon-shen-27241b12/
- [LinkedIn, retrieved 2026] Julius Tang - TAS Projektentwicklung GmbH | LinkedIn | https://www.linkedin.com/in/julius-benjamin-tang/