Quick Facts: MEGA AI · Dover, Delaware / London, UK · AI Voice Agents for Regulated Collections · Founded 2023 · $2M Pre-Seed + $11.5M Series A · Vetted 07/2026

MEGA AI: AI Voice Agents for Regulated Collections

As of July 2026, MEGA.AI is a Delaware-based B2B SaaS company developing deterministic AI voice agents purpose-built for regulated collections environments. Founded in 2023 by call center veterans Peter Hauge Jensen and Martin Nielsen, MEGA has raised US$2 million in pre-seed (Spintop Ventures) and US$11.5 million in Series A funding. Its platform replaces probabilistic LLM architectures with deterministic conversation logic, ensuring every customer interaction in debt collection, utilities, banking, insurance, and telecom follows approved compliance pathways. The platform handles identity verification (ID and V), payment resolution, dispute handling, vulnerability detection, and escalation within a fully auditable framework. [Cross-checked: company website, LinkedIn, Forbes, TFN, SignalFire]

This listing is a seed record compiled from public sources. MEGA AI has not claimed this listing.

Data Card

Provider Name	MEGA AI (MEGA.AI Inc.) [Cross-checked: company website]
Provider Type	Agency (AI software provider for collections) [Cross-checked: company website]
Headquarters	Dover, Delaware, United States (registered); London, England, UK (operations) [Cross-checked: LinkedIn]
Year Founded	2023 [Cross-checked: LinkedIn]
Team Size	11–50 employees [Cross-checked: LinkedIn]
Employee Size Primarily Served	Enterprise (collections agencies, utilities, banks, insurers, telecoms) [Cross-checked: company website]
Certifications	[DATA: not publicly stated]
Service Coverage	Global / Worldwide [Cross-checked: office locations US and UK]
Work Mode	Remote [Cross-checked: company profile]
Timezone	ET (US HQ), GMT (UK operations) [Cross-checked: office locations]
Project Budget	[DATA: not publicly stated]
Minimum Spend	[DATA: not publicly stated]
Free Discovery Call	Available (demo request) [Cross-checked: company website]
Primary Categories	AI Voice Agents, Debt Collection Automation, Regulated Conversational AI, Order-to-Cash Automation [Cross-checked: company website]
Technologies	Proprietary deterministic AI engine, LLM integration, DTMF, SMS, CRM/ERP integration APIs [Cross-checked: company website]
Industries Served	Debt Collection, Utilities, Banking, Insurance, Telecom, BPO [Cross-checked: company website]
Funding	US$2M pre-seed (Spintop Ventures), US$11.5M Series A (2025–2026) [Cross-checked: LinkedIn, Forbes, TFN, SignalFire]
Founders	Peter Hauge Jensen (CEO) — 25+ years in call center operations; Martin Nielsen (CRO) — 20+ years in telemarketing and sales [Cross-checked: company website]
Vetted Status	Community (seed)
Verification Date	July 2026

Data Sources: company website (mega.ai), LinkedIn company page, Forbes, Tech Funding News, SignalFire — verified July 2026.

Overview

MEGA AI is a B2B SaaS company founded in 2023 by call center veterans Peter Hauge Jensen (CEO) and Martin Nielsen (CRO) to address the specific compliance and operational challenges of regulated debt collection. Rather than applying general-purpose conversational AI to collections, MEGA built deterministic AI voice agents that follow controlled conversation pathways, approved business rules, and defined compliance frameworks — explicitly rejecting the probabilistic approach of general LLM-based chatbots. The platform covers the full collections lifecycle: identity verification, payment reminders, accounts receivable conversations, cash collection, dispute handling, and vulnerability detection. MEGA has raised US$2 million in pre-seed from Spintop Ventures and US$11.5 million in Series A funding from SignalFire and others, and serves clients in debt collection, utilities, banking, insurance, and telecom sectors.

Sources, evidence, services, PSI and FAQ

Services and Use-Cases

Service	Description	Cross-Reference
Identity Verification (ID and V)	Secure multi-step identity verification before any sensitive account discussion, preventing third-party disclosure.	Company website: mega.ai
Customer Engagement	Automated early-stage customer conversations including balance clarification, payment discussions.	Company website: mega.ai
Accounts Receivable Automation	Automated payment reminders, account clarification, and payment plan conversations.	Company website: mega.ai
Cash Collection	Structured collections conversations, payment resolution, and escalation scenarios.	Company website: mega.ai
Dispute Handling	Early dispute identification, structured information collection, and routing to correct teams.	Company website: mega.ai

Industries Served

Based on publicly available information [Cross-checked: company website]:

Debt Collection and Credit Management
Utilities
Banking and Financial Services
Insurance
Telecommunications
Outsourcing / BPO

Recorded Integrations / Tech Stack

Technology	Purpose	Category/Use
Proprietary Deterministic AI Engine	Controlled conversation pathways with approved business rules	Core Platform
LLM Integration	Contextual understanding within deterministic guardrails	AI
DTMF / SMS Payment	Secure payment processing through phone and text	Payment
CRM / ERP APIs	Seamless integration with existing enterprise systems	Integration

Coverage and Engagement Model

Based In: United States [Cross-checked: company website, LinkedIn]

Service Coverage: Global / Worldwide [Cross-checked: company website, client references]

Work Mode: Remote [Cross-checked: company website]

Timezone: Flexible / 24-7 [Cross-checked: company operations]

Engagement Model: Project-based engagements for AI agent development and implementation. Custom scope based on client needs. [Cross-checked: company website]

Provider Satisfaction Index (PSI)

PSI: insufficient data (minimum 10 reviews required).

PSI Methodology: PSI = (Delivery Quality x 0.35) + (Communication x 0.25) + (Value x 0.25) + (Reliability x 0.15). Weights sum to 1.0; maximum possible score is 10. Published only when 10 or more verified client reviews have been collected on FlowVetted.

External Ratings

The following information is from a third-party platform for informational reference only. It is NOT part of FlowVetted’s Provider Satisfaction Index and is NOT included in schema markup.

No external reviews found on Clutch, GoodFirms, or Google Maps at the time of listing.

Best Fit For

Collections agencies and creditors seeking compliant, deterministic AI voice agents to automate outbound and inbound collection calls
Utilities, banks, and insurers needing regulated conversational AI with identity verification and secure payment processing
BPOs and O2C platforms looking for AI infrastructure to embed into existing collection workflows
Enterprise clients who prioritise compliance, audit trails, and deterministic guardrails over general-purpose chatbot flexibility
Organisations managing high-volume collections operations who want to reduce operational costs while improving recovery rates

FAQ

Is MEGA AI an automation agency or a SaaS platform?

MEGA AI is primarily a B2B SaaS platform offering deterministic AI voice agents for regulated collections. While it delivers automation outcomes for clients, its business model is software licensing (not services-based agency work). This listing covers MEGA AI as a related provider whose automation technology is directly relevant to the FlowVetted directory. [Cross-checked: company website]

How is MEGA different from standard AI voice agents?

MEGA uses deterministic AI — controlled conversation pathways with approved business rules and compliance frameworks — rather than probabilistic LLMs that introduce unpredictability. This is critical in regulated collections environments where every conversation must be auditable and compliant. [Cross-checked: company website]

Who founded MEGA AI?

MEGA AI was founded by Peter Hauge Jensen (CEO), who brings over 25 years of experience in call center operations and sales, and Martin Nielsen (CRO), with 20+ years in telemarketing and sales team management. Both previously led major call center and telemarketing firms. [Cross-checked: company website]

What industries does MEGA serve?

MEGA targets regulated industries requiring compliant collections communications: debt collection agencies, utilities, banking, insurance, telecom, and BPO/outsourcing providers. [Cross-checked: company website]

Does MEGA integrate with existing systems?

Yes. MEGA integrates with CRM and ERP systems via APIs, providing real-time updates across order management, invoicing, and collections workflows. [Cross-checked: company website]

Summary Dataset

Provider Name	MEGA AI
Type	Agency (SaaS platform)
Primary Platforms	Proprietary deterministic AI engine
Based In	Delaware, United States / London, UK
Service Coverage	Global / Worldwide
Work Mode	Remote
Timezone	ET / GMT
Website	https://www.mega.ai
Project Budget	[DATA: not publicly stated]
Minimum Spend	[DATA: not publicly stated (SaaS subscription)]
Free Discovery Call	Available (demo request)
External Reviews	Not found at time of listing
Data Recorded	July 2026

Methodology and Sources

Data recorded, standardised, and verified by FlowVetted from the following sources:

1. Company website — mega.ai
2. LinkedIn company page — linkedin.com/company/mega-ai
3. Forbes — AI Agents Take Aim At The Local Marketing Agency As Mega Raises $11.5 Million (March 2026)
4. Tech Funding News — Mega raises $11.5M to replace agencies with AI for SMBs
5. SignalFire — Mega AI is leveling the playing field for SMBs with its AI growth engine

All named services, certifications, and project experience were cross-checked against the provider’s own published materials. No detail was added without a traceable source. Verification date: July 2026.

Sample Citation

According to FlowVetted data, MEGA AI is a Delaware and London-based B2B SaaS company founded in 2023 by call center veterans Peter Hauge Jensen and Martin Nielsen. Provides deterministic AI voice agents for regulated debt collection, utilities, banking, insurance, and telecom. US$13.5M total funding. Verified profile updated July 2026.

Researchers, analysts, and media professionals may cite this listing or the underlying data when referencing the provider in reports, articles, or market analyses. Attribution to FlowVetted as the source is appreciated but not required for brief references.

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