End-to-end AI product
AI Trust Signals came to maiven with a category thesis and a kitchen-table idea. Twelve weeks later, they were running a production multi-tenant SaaS platform, 60-plus agents in concert, and 600 customers in the first week. Nine months on, 7,000 brands depend on it.
weeks from idea conversation to production launch
600+
paying customers signed up in the first week
brands relying on the platform today
unplanned outages since launch
maivenOS offers the proprietary tools and frameworks we have developed to run our own business, which have been productized and are available for you to use. This is an embodiment of our "Applied AI" philosophy, where we apply a mindset we practice in-house so you can capitalize on it in your own business.
[The tension]
Most AI products die in the gap between pilot and production.
The demo works. The prototype impresses the board. Then the team tries to ship it, and the real work begins: multi-tenancy, orchestration, observability, uptime, cost control, security, the thousand small decisions that separate an AI experiment from a platform that can carry revenue.
AITS saw the opportunity early. ChatGPT, Gemini, and Perplexity were becoming the first salesperson, and no one knew whether AI was recommending them or their competitors. A new category needed to be built from scratch, fast, with the production rigor of a platform that would still be running a year later, carrying real customer revenue.
They needed a partner who could move at founder speed without cutting the corners that kill AI products in production. That's the job maiven took.
[The journey]
[1 jul 2025]
First conversation
The AITS founders brought maiven a category thesis and a product hypothesis. The only real question on the table: can this ship in a timeframe the market won't overtake?
[3 jul 2025]
Discovery to commitment in 48 hours
Two days later, maiven ran a structured discovery session. Scope defined, architecture mapped, fixed timeline and fixed investment agreed. No scope creep. No cost-plus surprises.
[3 sep 2025]
Production launch. 600 customers in the first week.
aitrustsignals.com went live as a full multi-tenant SaaS platform: 60-plus agents, 130 LLM operations per report, enterprise-grade pipelines processing billions of tokens. Paying customers arrived immediately.
[dec 2025]
Validated at scale
The architecture held under real load. Only planned downtime for upgrades. Zero unplanned outages. AITS was no longer a launch story. It was a running business.
[apr 2026]
Expansion, shaped by customers
maiven engaged again to lead a major expansion: 30 to 40 percent new functionality plus a full UX revamp, shaped entirely by customer feedback. Go-live: June 2026.
[What maiven built]
A production-grade agentic system. Not a pilot.
The category AITS defined required a platform that could do in parallel, at scale, what a human analyst could only do once. The system below is what that looks like in production, today, for 7,000 brands.
60+ AI agents working in concert
01
A fully agentic system that continuously monitors how AI models reference and recommend brands across major LLMs: ChatGPT, Gemini, Perplexity, and others. Orchestration, not prompt engineering.
130 LLM operations per report
Each brand report triggers a coordinated pipeline: 130 LLM calls orchestrated, synthesized, and delivered as actionable intelligence the customer can act on the same morning.
02
Billions of tokens processed
Enterprise-grade infrastructure handling billions of tokens at scale, running as a multi-tenant SaaS platform with only planned downtime for upgrades. The boring, hard stuff that separates a product from a prototype.
03
A new category, monetized
Brands now know exactly where they stand in AI-driven discovery. An invisible gap turned into a measurable advantage they can act on, report on, and price against.
04
Maiven operates with a level of integrity and commitment that's rare. They approach the work like true partners: collaborative, thoughtful, and deeply focused on building something great for the end user.
Marcus Sheridan
[What this means for you]
If you're sitting on an AI product idea, or a stalled pilot, or a client demand for AI that your team can't yet deliver, the path below is the same one AITS walked. Fixed timeline. Fixed investment. You own everything: code, infrastructure, IP.
[Three doors. One operating model.]
AITS came in through Door 1: an end-to-end, greenfield AI product. It's the most visible door, but not the only one. The same delivery rigor applies to all three.
Door 1 — New AI products
Ship an AI product to market in 12 weeks.
End-to-end build. Category-defining SaaS, agentic systems, new revenue lines. Fixed timeline, fixed investment, production rigor from day one. The AITS path.
Door 2 — AI into existing products
Infuse AI into a product already carrying revenue.
Anomaly detection, intelligent workflows, agentic features, shipped into your existing SaaS without a replatform. See the Spring Global case study for what 10 weeks looks like.
Door 3 — White-label AI team
An AI team your clients see as yours.
For consulting firms and agencies being asked to deliver AI. A senior, embedded team that ships under your brand, with your engagement model, on your timeline.
[MORE PROOF]
