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Applied AI engineering studio · London

Hiring AI engineers takes months.
We ship your first AI agent in 6 weeks.

VENTURION is an applied AI engineering studio in London. We design and ship AI agents, RAG search and automation that work in production.

VENTURION Est. 2026 Building Tomorrow. Together. Scroll ↓

Five practices,
one engineering studio.

Most engagements use two or three together — which is usually the difference between a prototype that impresses and a system people rely on.

I

Autonomous agents

Multi-step agents that plan, use your tools, and know when to hand back to a human. Built with evaluation and guardrails from day one, not bolted on after the incident.

II

Knowledge & retrieval

Your documents, tickets and databases turned into something a model can answer from — with citations, freshness and access control that survive an audit.

III

Interfaces for uncertainty

Design for systems that are probabilistic. We shape the confidence, the correction path and the fallback — the parts that decide whether people trust it a second time.

IV

Model engineering

Fine-tuning, distillation and routing to reach the quality you need at a cost you can defend. We benchmark before we recommend, and we show the workings.

V

AI content creation

On-brand copy, articles, social posts and marketing assets produced at scale — in your voice, grounded in your product, with a human in the editing loop. Volume without the sameness.

Example output Interactive demo on sample data to show how the systems behave — not results from a client engagement.
Select Sample Inbound Ticket:
Enterprise Annual Invoice Mismatch
#TICK-8842 • 2 mins ago
High
429 Error on Batch Embedding Endpoint
#TICK-8843 • 5 mins ago
Med
SSO Authorization Key Renewal
#TICK-8844 • 12 mins ago
Low
Live Agent Decision Matrix
Category:
Billing Discrepancy
Priority Rating:
High
Agent Confidence Score: 96%
Orchestration Action:
Auto-Routed to Finance Tier 2
Test Cited Knowledge Vector Search:
Enterprise SLA & Severity Levels Similarity: 96.4%

Severity 1 (System Down) guarantees 15-minute response time with auto-escalation to duty engineering lead.

Model Confidence Threshold Dial
88%
HIGH CONFIDENCE (Auto-Execute)

System processes request immediately without requiring human confirmation.

Interactive Unit Cost Estimator

VENTURION replaces brute-force frontier API queries with fine-tuned 8B models & speculative routing.

Estimated Annual Cost Savings · example output
£12,000 / yr

What we actually
build for teams.

Concrete starting points. Most first engagements look like one of these.

Support inbox agent

Drafts replies from your help docs and past tickets, routes by priority, and hands anything uncertain to a human.

Lead qualification agent

Qualifies and responds to inbound on WhatsApp or your website, asks the right questions, and books the call.

Document search (RAG)

Answers questions over your policies and contracts with citations and access control — sources every time.

Ops automation

Moves and reconciles data between email, CRM and spreadsheets so your team stops copy-pasting.

Shipped work.

These are our own products, running in production — the clearest proof of what we build and ship. Click any project to inspect it. Client case studies will be added here as engagements complete.

I Velora AI A multi-tenant AI marketing platform for online stores — SEO, social and conversion, every customer on their own API keys.
Problem:

Small store owners can't afford a marketing team, and generic AI tools don't touch their real catalogue or numbers.

What we built:

A multi-tenant platform where each customer brings their own keys. AI agents generate listings, social content and conversion fixes, with an encrypted per-tenant credential vault and scheduled auto-posting — so platform cost per customer stays near zero.

Stack:

TanStack Start, Supabase, vendor-agnostic publishing adapter, cron scheduling.

Status:

Live at velora.venturionai.com →

II Pulse A social media manager you run entirely from Telegram.
Problem:

Founders and solo marketers won't log into yet another dashboard to keep their channels alive.

What we built:

A bring-your-own-key social manager driven from a Telegram bot — draft, schedule and auto-publish across channels without opening a dashboard, plus AI product photos and video on the user's own keys.

Stack:

Telegram Bot API, multi-channel publishing adapters, BYO model keys.

Status:

Live — see Pulse →

III LeadFeed Point it at a product and it finds buyers across the web — scored and ready to reply to.
Problem:

Buyers describe their pain in public every day, but it's scattered across a dozen platforms and impossible to watch by hand.

What we built:

Aggregates Hacker News, Reddit, Bluesky, Stack Overflow, GitHub, LinkedIn and forums; an LLM scores each post for buyer intent and tags it, runs a daily auto-scan, and drafts a human-sounding reply per platform. No bots — you send it yourself.

Stack:

Next.js 15, Supabase, multi-source ingestion, LLM intent scoring. Live on Vercel.

Status:

Live (private beta).

More of our tools — Samey, MT5 Portfolio Manager and Minky — live in Labs →

Six weeks to
something real.

Click each phase to inspect the exact engineering deliverables provided.

Week 01

Frame

We find the one workflow where AI clearly pays, and write down what success looks like in numbers.

Week 02–03

Prove

A narrow build on your real data, scored against a test set agreed up front. It clears the bar or we say so.

Week 04–05

Build

Harden it: monitoring, cost controls, failure paths, and an interface your team will actually open.

Week 06

Hand over

Live with real users, documented, owned by your engineers. We stay on call, not on payroll.

Week 01 Deliverable: Workflow & Metrics Brief

Formalized specification of target latency, benchmark dataset, error tolerances, and human handoff thresholds agreed upon before line one of code.

Engagements
& pricing.

Clear starting prices, fixed scope, no open-ended retainers unless you want one.

01 · 2 weeks

AI Opportunity Audit

from £3,500

We map your processes, pick the top 3 AI use cases, and build one working prototype on your data. You get a written report and a walkthrough.

Book a call
02 · 6 weeks

AI Agent / RAG Build

from £15,000

The full Frame → Prove → Build → Hand over process: a production AI agent or RAG system on your data, your interface, owned by your team. Includes 30 days of post-launch fixes.

Book a call
03 · monthly

AI Support & Improvement

from £1,500/month

Monitoring, a monthly improvement sprint, and priority support — so the system keeps getting better after launch.

Book a call

Prices exclude VAT · 50% deposit to start

Build your project
scope proposal.

Select your primary goal & scale to generate an instant engagement outline.

Step 1: Primary System Objective

Autonomous Agents

Multi-step tool-using agents with human-in-the-loop guardrails.

Knowledge RAG Search

Cited vector search over enterprise documents & databases.

Model Optimization

Fine-tuning & routing to cut latency and API token costs.

Step 2: Monthly Request Scale

Pilot Scale

10k – 100k requests / mo

Growth Scale

100k – 1M requests / mo

Enterprise Scale

1M+ high-throughput requests

Submit Scope to Engineering Team
Contact

Tell us the workflow that's eating your week. If AI is the wrong tool for it, we'll tell you that too.

Book a free AI opportunity call Email us

Prefer a calendar? pick a time →

Or reach us directly

hello@venturionai.com X Instagram Facebook Gumroad
London, UK Mon–Fri 09:00–18:00 GMT Building Tomorrow. Together.