"Can this [app] join the meeting? It feels like environmental research at your fingertips, but with capability of execution at any time. We would love see something like that as a regular part of our creative team!"CMO @ marketing agency
🧩 What problem are we solving?
View more
🛠️ What is our solution?
View more
🔮 What we see in the future?
View more
🤔 How do they think/act?
"Environmental surveys are expensive, time-consuming, slow, and ineffective for industries that need to stay competitive. These companies are more than eager to save time and money—especially if it means gaining a few extra percentage points in conversion, which, for large e-commerce brands, can translate into thousands of dollars in profit. Traditional surveys are useful once every 10 months to check strategic direction, but now they can serve a new purpose: validating your model with real customers and calibrating it with human insight." Marketers are tired of yet another SaaS platform they have to learn, calibrate, and manage. They already juggle multiple subscriptions just to display data on dashboards. Chirons offers a different approach: marketers can still calibrate personas within the dashboard, but interact with their Digital Twin through a real-time AI agent—one that speaks like their customer and can even join meetings to role-play buyer behavior, and generate winning creatives based on data. Additionally, as marketing teams increasingly experience turnover, the first question new team members ask is: "Who is this product for?" The usual answer? A static persona imagined by founders or previous marketers—often outdated, segmented into rigid stages, and built on guesswork rather than real data.
🌎 How big is the opportunity?
What scale are we talking about? TAM - 835 billion USD – all companies using SaaS: 250 million × 3 329 USD/year SAM - 89 billion USD – all companies using CRM, Google Analytics: 27 mil × 3 329 USD/y SOM - 329 million USD – commerce companies in Europe and the USA (over 4/5 years): 100 000 × 3 329 USD/y PM (Direct Competitors) - 106 million USD – 32k companies × 3 329 USD/y Our total market for the core service is 835 billion USD. We considered the SaaS, AI, and data analysis segment for companies, using software in sales and marketing. We focus on e-commerce companies, because they have vast, dispersed data resources and are ready to use software to analyze this data. That creates an total 83 billion USD opportunity for Chirons. Chirons is extendable to services such as AI-ready data infrastructure for European companies—helping them prepare, structure, and connect their data for AI integration, while ensuring compliance with data protection regulations and legal aspects of processing.
💵 What is ours financial model?
How we want our base source of income? Pricing Tiers Base MVP matches competitor pricing; premium features command higher rates. Enterprise $4K-$40K/yr Who: companies with $10+ million/y revenue Deep CRM integration + automated segmentation > personalized campaigns, higher ROI Agency from $49/mo + $39/mo: competitor persona insights Who: marketing agencies Automated persona generation > 10x faster client onboarding & automated research Freelance & Individual - $95/mo Who: marketers, strategists & solo teams Al personas to chat with > real-time customer insights +200$/m/seat for calls training with digital twin of B2B personas. Access to better understanding foreign business culture and art of global deal closing. *Every lower tier can purchase a higher tier option if want to use their features and integrations.
🏃 What's prevented you from growing even faster?
Two main factors appears to be challenging in the future. 1. Enterprise adoption barriers: trust, compliance, and integration Large companies demand strict data compliance, legal transparency, and seamless integration with complex tech stacks (CRM, CDP, BI). Without fast onboarding and immediate business value, Chirons risks getting blocked by legal, IT, or operational friction.To succeed, it must prove security, minimize reliance on internal IT, and deliver plug-and-play value directly to marketing teams. Long sales cycles and internal bureaucracy make simplicity and clarity of implementation mission-critical. 2. AI infrastructure cost and energy constraints Running real-time AI agents and Digital Twins at scale is compute-intensive and energy-hungry. With rising infrastructure costs, chip shortages, and growing ESG pressure, Chirons must optimize performance through smart caching, selective agent activation, and hybrid AI models.If not addressed, the cost per client could become unsustainable in mass adoption scenarios. Efficient AI operations and future-ready infrastructure design will be key to long-term scalability and investor confidence.
💸 How will raising money solve this problem?
Describe opportunity to unblock or address points of friction. Problem 1: Complex Integration and Enterprise AdoptionThe funding will allow us to accelerate enterprise-readiness across three strategic fronts. First, we’ll invest in building native, low-friction integrations with platforms such as Salesforce, HubSpot, Google Analytics 4, Meta Ads, and Shopify - allowing marketing teams to onboard without technical dependencies. Second, we’ll develop a full compliance and legal toolkit, including documentation, audit trails, and GDPR-ready data flows, to ensure fast procurement clearance and data security assurance. Third, we’ll deploy a dedicated Customer Success and onboarding team focused on enterprise enablement - ensuring high activation, education, and long-term value realization for every account. Problem 2: High AI Infrastructure Costs and Scaling LimitationsThis capital will allow us to re-architect key parts of our AI infrastructure with cost-efficiency and sustainability in mind. We plan to develop and train lightweight, task-specific LLMs optimized for real-time customer simulation - reducing our dependence on large, generic third-party models. We’ll also implement hybrid inference logic (combining on-demand cloud compute with scheduled batch processing and edge caching) to reduce per-user resource consumption. Furthermore, we’ll explore alternative deployment backends - including AWS Inferentia, Azure AI, and localized GPU clusters—to diversify our cost base and ensure continuity. These investments will not only stabilize unit economics but also make Chirons more resilient and ESG-aligned in the long term.
"Great solution with a future. Working with a company like yours would be a goal in itself for me to try and start a collaboration. Half a percent optimization means 100+k $ annually."Sales Manager @ CENEO
"Anyone smart will be all-in with this, because they'll be able to service 3 times more clients.Marketing Freelancer
"I'd definitely prefer one person [with Chirons] to handle 50 clients rather than hiring more people."Marketing Agency Owner
Chirons aims to scale without a rapid expansion of its internal sales team. To achieve this, we’re focusing on strategic partnerships—working with a select group of 3–4 agencies in each country to drive business development and market expansion. Our goal is to deliver top-tier technology through a lean model, leveraging channel sales via a structured partnership program, supported by collaborations with PARP and local chambers of commerce.
We’re not just building another SaaS tool.
We’re changing how companies understand and act on customer behavior—turning data into real-time decisions and personas into living simulations.With the right partners and the backing of visionary investors, Chirons is set to become the intelligence layer behind the most adaptive and profitable marketing teams in the world.
Now is the moment to join us.