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Vention

London, United Kingdom

1000+€45-85/hrFounded 2002
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About

Vention is a software engineering firm with a London office, running an AI Center of Excellence alongside its platform practice. Its AI work spans computer vision, retrieval systems, and agent development.

Who They Work With

Venture-backed product companies adding engineers to an existing team, with AI as one feature inside the software work.

Based on 10 client engagements with a source URL · researched 23 Sept 2026

Our Take

The two most detailed AI studies on Vention's site describe its own internal tools: a legal-document RAG platform the study reports as live, answering at about 88% accuracy in three to 10 seconds, and a marketing assistant on Claude Haiku and Sonnet through AWS Bedrock that was still moving from proof of concept toward an MVP.

Client-side AI is thinner than the positioning: in the EliseAI study the AI is one line—automated replies added during four years of database, security and QA work—and in the Kafene study it is Cursor and CodeRabbit inside the development process, credited with 15–20% higher engineering efficiency.

The Comet and Vexcel Imaging engagements are real engineering next to AI—SDK and dashboard work on an ML platform, and a serverless image-processing pipeline—rather than a model trained for a client.

The weaker fit is buyers commissioning a production ML or LLM system from scratch, who should ask for a client reference where Vention built the model and still runs it.

Key strengths

  • The internal legal RAG study publishes its design—interpreter agents, query expansion, multi-answer synthesis—plus an 11-week MVP, a three-person team and about 88% response accuracy
  • Long engagements with named product companies: four years at EliseAI, 3.5 at Vexcel Imaging, three at Comet and 3+ at Kafene, where the co-founder is quoted by name
  • The Vexcel study documents a serverless AWS pipeline (Step Functions, Lambda, GDAL, Rasterio) that processes up to 1,000 aerial images in 15–20 minutes instead of weeks

Good to know

  • EliseAI results differ by page—125% more conversions on the case study, 65% on the AI solutions page—so ask which figure is current and how much of it Vention's work drove
  • The AI page claims 150+ completed AI projects, but published client studies show little model-building—ask for two client references where Vention built and operates the model
  • The London office is described as a local point of contact, with delivery from centers across Europe and Asia—ask where your team will sit and who leads it day to day
Gabor Kiss

Reviewed by Gabor Kiss

Founder & Curator, AIAgencies.eu · 23 Sept 2026

Based on the agency's publicly available portfolio. Own this agency? Claim your profile to provide additional context or request a review update.


How we evaluate agencies

Notable Clients

Every engagement documented in a published case study

Documented engagements: EliseAI, Kafene, Comet, Vexcel Imaging, Sperry Rail, Infogrid, Verfacto, Tisane Labs, Staircase AI, and Ramp Catalyst. All 10 carry a source URL on file.

EliseAIFour-year, five-person engagement on an AI leasing assistant: database optimization, Amazon Cognito and Spring Security, property-management integrations and AI-powered automatic replies; case study reports 125% more conversions and 90% of workload automatedSource
KafeneDedicated team grown from two to seven engineers since November 2022 building a lease-to-own fintech platform (risk scoring, marketplace, integrations); AI limited to Cursor and CodeRabbit in delivery, credited with 15–20% efficiency and 30% faster PR review; co-founder James Schuler quotedSource
CometThree engineers over three years on an ML experiment-tracking platform: framework integrations, the MPM production-monitoring library and the Python component of Comet LLMSource
Vexcel ImagingFour-person team over 3.5 years automating aerial image filtering, standardization and metadata extraction on AWS Step Functions and Lambda; up to 1,000 images processed in 15–20 minutesSource
Sperry Rail4.5-month product discovery workshop for a rail-inspection data tool, followed by delivery; Senior Director of Digital Transformation Bobby Gilbert quoted on budget and scheduleSource
Infogrid18 engineers on a sensor-based building-management platform: API refactor, floorplans, dashboards, alerts and new sensor-vendor integrationsSource
VerfactoFour engineers over 1.5 years scaling a customer-journey analytics product with Cadence workflows, HyperLogLog counting and aggregated reportingSource
Tisane LabsNamed testimonial from CEO Vadim Berman on a developer assigned to its NLP and abuse-detection softwareSource
Staircase AINamed testimonial from CTO Lior Harel on developers added to the core engineering team under a team-extension modelSource
Ramp CatalystNamed testimonial from Founder and Senior Partner Paul Steckler on AI, ML and VR projects including voice-agent work and recommendation enginesSource

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