Voice-First Agentic
Service Operations
Deeply integrated AI Agents that take calls, make calls, read and write emails, manage digital channels and complete complex tasks in complex environments. A proven AI platform in a £120bn global market.
Investor materials restricted to eligible investors
Trusted by £bn enterprises in sectors that can't get AI wrong
Enterprise-ready security & compliance
A proven Enterprise AI platform with real customers, results and revenue.
Logicdialog is in production across UK Government, regulated utilities, insurance, healthcare transport and pan-European mobility , the sectors where getting AI wrong is career-ending.
Source: 36 months Logicdialog platform data / 2025-26 P&L. Past performance is not a guide to future performance.
Manual customer service is expensive, ineffective and frustrating.
Contact-centre economics have snapped. Costs are up, quality is down, and customer patience is gone. This is exactly the operating gap we close.
See numbered sources in the Sources & citations section below.
The Enterprise AI layer for Service Operations.
Logicdialog is the agentic communications layer that automates customer interactions across voice, email and digital channels. The real value goes far beyond handling conversations: Logicdialog also executes the operational work behind them, from identity checks and payments to case updates, CRM notes and workflow actions.
With a deep heritage in enterprise integration, Logicdialog connects into hundreds of systems, including Salesforce, Microsoft 365, Zendesk, proprietary platforms and legacy infrastructure, adding a powerful layer of AI across the organisation without the disruption, cost or risk of ripping out and replacing existing technology.
We unify content, data, systems and channels so routine contacts resolve automatically, and enterprise teams handle only the exceptions.
Faster resolution, happier customers, lower cost, higher margins.
Routine automated, exceptions escalated. See these real client examples...
Clare used to call every patient, one by one, to validate their NHS transport booking. 56,389 patients a year across six sites.
33,950 of those validations now complete themselves.
Clare handles the exceptions, not the list.
David used to pick up every renewal call: authenticate, present terms, take payment. 74% of his calls were the exact same conversation.
698 renewals a year complete autonomously; 534 more arrive payment-ready.
David closes deals instead of reading scripts.
Multi-channel, multi-lingual, Agentic AI for Service Operations.
Not a chatbot bolted onto a helpdesk. A production-grade agent platform that answers the call, reads the inbox, follows enterprise policies, writes back to the customer's systems of record, and reports on every action it takes.
Answers inbound and places outbound calls. Sub-second latency, barge-in, warm handover to human agents.
Triage, draft, resolve. Handles email and web-form volume against the same policies as voice.
Grounded in the customer's documents, tariffs and SOPs. No hallucinated answers, full source citations.
Reads and writes to CRM, billing, ticketing and bespoke back-office. Actions, not deflection.
Best-in-class model per task, swappable as the frontier moves. No lock-in to a single provider.
Every call, intent and outcome logged. Full audit trail for compliance and continuous tuning.
Deployed inside private, public and regulated sectors. UK data residency available.
Role-based access, encryption in transit and at rest, PII redaction on every transcript.
Running today for UK Government, Welsh Water, Europcar, One Call, HATS and more.
Enterprise credentials matched with start-up agility.
We sit in a rare gap in the market: AI-native voice agents deployed inside the systems and sectors most competitors avoid.
Raiffeisen, HM Government, Europcar, Groupe Atlantic , multi-£bn organisations trust our heritage and technology. The real prize is the underserved mid-market that start-ups can't reach and incumbents can't be bothered to serve.
A small, agile team with multiple deployments into public, private and regulated sectors is rare. Lower overheads let us out-price similarly-experienced competitors while shipping faster.
Deep integrations into legacy, sector-specific platforms nobody else wants to touch , 60+ pre-built connectors, webhooks, APIs and SDKs , make us trustworthy and hard to replace.
Swap LLM, STT, TTS and translation per task. Best-in-class model per job, upgradeable as the frontier moves. No single-vendor dependency.
An AI inflection point is happening right now.
Enterprise AI revenue is at the base of an S-curve. The window to establish category position is the next 24 months, before incumbents consolidate and buyers standardise.
UK contact centres using voicebots today vs. planning to within 2 years. A 5.6× jump in stated demand. [11]
CAGR of the global outbound voice-AI (predictive dialler) market, 2025–2030, reaching US $25.5bn by 2030. [12]
Web-chat interactions involving automation, 2015 to end-2024. Voice is now on the same curve, one cycle behind. [13]
of all customer interactions in the UK are still live voice, despite a decade of digital investment. Voice is unavoidable, and now automatable. [13]
Independent third-party research: ContactBabel UK CC DMG 2026 [11]; ContactBabel UK CX DMG 2026 citing Grand View Research [12]; ContactBabel & Odigo, Voice AI: Transforming the Channel of Choice, UK edition [13].
Sub-second latency, natural turn-taking and enterprise-grade accuracy landed in 2024. The technical objection that blocked buyers for a decade is gone.
Contact-centre labour inflation, attrition and hold-time SLAs are unsustainable. Boards now buy voice AI as a P&L line, not an experiment.
Regulated buyers can't hand call flows to a generic LLM. They need audit trails, integrations and accountability , which is exactly where we sit.
A £120bn market. Contact centres across private, public & regulated sectors.
We target the underserved SMB and mid-market segment of a mature global category, where the buying agenda has flipped from “experiment” to “automate the P&L line”. The near-term prize sits inside our existing book before we touch a new logo.
Sources: Technavio Global Contact Center Market Report 2026 [7]; ContactBabel UK Contact Centre Decision-Makers' Guide 2026 [8]; ContactBabel UK Contact Centre HR & Operational Benchmarking Report, 15th ed. (2026) [4]; client-provided call volumes.
Billing only for productivity.
Consumption-based pricing that aligns cost with outcome. Usage grows with the account, gross margin sits at ~69%, and revenue recurs on a £663k forward base.
Operating metrics from current customer base. Forward financial projections, unit economics forecasts, pipeline values, round terms and the financial model are available to eligible investors after self-certification.
A founder-led team that has built, scaled and exited before.
A lean, AI-enabled team with enterprise client credentials that start-ups can't replicate, and the agility that larger competitors can't match. Led by a once-exited founder and an ex-IBM Product Director.
15-year tech professional, formerly Co-Founder of Hello Soda (exit to Acuant Inc.). Commercial growth, fundraising and key client relationships.
Ex-IBM Watson and accredited IBM 'Master Inventor' for AI patent contributions. Rebuilt Logicdialog from the ground up.
Every headline stat on this page is cited.
Third-party research is used to describe the market and problem context. Figures relating to Logicdialog's own traction come from internal platform data and unaudited management accounts, and are marked as such. Past performance is not a guide to future performance.
- [1]Qualtrics XM Institute, ROI of Customer Experience 2023 , global revenue at risk from poor CX estimated at US $3.7tn (~£2.24tn).
- [2]Insignia Resources, State of the Contact Centre 2024 , 81% of consumers report unacceptable hold times; average hold time roughly 3× 2019 levels.
- [3]SuperOffice, Customer Service Benchmark Report 2024 , 35% of company email enquiries remain unanswered after 1–5 days.
- [4]ContactBabel, The UK Contact Centre HR & Operational Benchmarking Report, 15th edition (published March 2026) , mean UK agent attrition 17% at end-2025 (Fig. 3); outsourcing sector mean 35% (Fig. 6); mean new-agent salary £25,468, +3.5% YoY (Fig. 23); mean short-term absence 6.2% (Fig. 18).
- [5]ContactBabel, The UK Contact Centre Decision-Makers' Guide 2024–25 , average fully-loaded UK cost per human-handled inbound call £6.17, email £4.92, web-chat £3.38.
- [6]Callforce, Contact Centre Turnover & Cost of Attrition Study 2024 , average recruitment, onboarding and training cost per contact-centre agent ~£10,700.
- [7]Technavio, Global Contact Center Market Report 2025–2029 , global market sized in excess of US $150bn (~£120bn) with mid-single-digit CAGR.
- [8]ContactBabel, The UK Contact Centre Decision-Makers' Guide 2026 , ~6,000 UK contact centres; median annual technology + labour spend used to derive SAM.
- [9]Logicdialog internal platform data, rolling 36 months to 2026 Q2 , voice interactions, email automations, digital messages and back-office actions handled by the platform. Not independently audited.
- [10]Logicdialog 2024–26 management accounts and P&L , calendar-year revenue, growth rate, recurring revenue base and retention.
- [11]ContactBabel, The UK Contact Centre Decision-Makers' Guide 2026 (Fig. 36, p.112) , 10% of UK contact centres currently use voicebots, a further 46% plan to within two years (56% two-year adoption target).
- [12]ContactBabel, The UK Customer Experience Decision-Makers' Guide 2026, citing Grand View Research, Predictive Dialer Software Market Size, Share & Trends Analysis Report 2025–2030 (Nov 2024) , 42.3% CAGR to US $25.52bn by 2030.
- [13]ContactBabel & Odigo, Voice AI: Transforming the Channel of Choice, UK edition (2025) , live voice 63% of interactions (down from 90% in 2006 but still dominant); web-chat automation rose from 5% (2015) to 53% (2024); 10% of UK organisations already use voice AI for self-service with a further 35% expecting to within two years.
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Risk summary
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- You could lose all of your money. The value of your investment can go down as well as up. Investing in start-ups is much riskier than investing in listed shares.
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