A custom research infrastructure, engineered for one business at a time. Verified first-party data. Delivered as a service. Compounding in capability every week it runs.
Panel respondents gaming incentives. Synthetic personas hallucinating consensus. Survey fatigue. Social listening capturing performance instead of truth. The industry is building better microscopes to study contaminated slides.
The industry assumes the hard problem is analysis and that better AI, applied to the same data, closes the gap between measurement and insight. We believe the opposite. The data is broken at the source.
OPTO inverts the order of operations. We fix the data first. We collect verified, first-party responses directly from your actual customers. We engineer a proprietary research instrument around the specific decisions your business makes. Then we deliver intelligence in the format your team already operates in. Not a dashboard you have to interpret.
Every engagement is custom. Different operators get different research designs, different probing logic, different deliverables. Configuration isn't customization. What we build for one client we don't ship to the next.
One Point Twenty-One was founded on a clear-eyed read of the state of market research and business intelligence. By 2024, survey fraud had crossed the line from anomaly to industry norm. Data quality was in free fall, and executives were making high-stakes decisions on fundamentally compromised inputs. The research industry had stopped solving the problem it existed to solve. With more than fifty years of combined expertise across data collection, research methodology, and applied technology, we knew incremental fixes to a broken system would never deliver the reliability leaders actually require, so we set out to engineer a new one.
That work became OPTO. As we stress-tested large language models against consumer datasets, we mapped with surgical precision the exact conditions required to deploy AI in environments where executive decisions demand certainty, not probabilistic guesswork. We paired that capability with verified, first-party data and intelligent adaptive probing that pushes past stated answers into the reasoning underneath. We then engineered OPTO to operate natively inside the systems where work actually happens, connecting through MCP to CRMs, ticketing platforms, BI tools, and operational software so intelligence flows directly to the people and processes that need it, in real time. By late 2025, we delivered the industry's first true end-to-end solution: a direct, transparent connection between executives and their customers, with real-time intelligence accessible simultaneously across the enterprise. We are not a survey vendor and not a SaaS platform. We are custom intelligence engineers, and we build systems that close the speed, depth, and trust gaps that have plagued research for years, giving leaders a single pane of glass into customer reality they can stake real decisions on.
We don't compete with survey tools. We compete with research firms, and we win on cost, speed, and continuity.
No third-party panels. No AI-generated synthetic personas. No scraped public reviews. No LLM-synthesized secondary data. Every signal that flows into your intelligence system is anchored to a verified customer in your business: auditable, attributable, and defensible.
Every OPTO engagement runs the same four-stage architecture, engineered around your specific business. No two systems are identical. The pattern is constant; the implementation is bespoke.
Verified customer feedback from every buyer, every rooftop, every delivery channel. Identity-bound, opt-in, auditable. Zero panels. Zero synthetic data.
Our proprietary methodology captures lived experience instead of constructed opinion. AI-driven probing replicates a skilled interviewer's depth. Follows signal, learns your business, gets sharper every cycle.
MCP-native integration with your operational stack. CRM, scheduling, POS, messaging, ERP. The intelligence sees context. Not just feedback in isolation.
Custom outputs in the format your team uses. Not dashboards you have to interpret. Decisions you can act on, in the channels you already operate in.
OPTO is built on the Model Context Protocol, the emerging standard for AI systems to read and write across your operational stack with structured context.
That means the intelligence layer doesn't sit beside your tools. It lives inside them. Customer signal flows alongside transaction data, scheduling state, location performance, and team activity, so insight is never separated from operational reality.
We don't ship a viewport. We engineer the deliverable to match how your team actually operates, and we update it as the business changes.
Most engagements include the OPTO Agent : A queryable AI layer your executive team can interrogate directly. Ask a question in natural language, get an answer grounded in your customer corpus, your operational data, and your business context.
Standard CX platforms ship the same survey science to every client. A pest control operator gets the same instrument as a luxury resort, with different logos. We don't operate that way.
OPTO uses a proprietary methodology that activates episodic memory rather than constructed opinion, capturing what customers actually experienced, not what they believe they should say. Each engagement gets a custom instrument architected around the decisions your executive team needs to make.
The mechanics stay private. The output is what matters: research that compounds in capability every week it runs. We call this Learning Velocity. It's the structural advantage of a system that's getting smarter about your business, not just collecting more data about it.
Custom intelligence in the formats your team already operates in. The shapes below are illustrative. Every engagement ships its own.
Themes ranked by mention volume from probing transcripts. Orange = rising signal week-over-week, with delta vs. last week.
Performance variance across rooftops on a single signal: actionable per-location, not just averaged.
The agent reads from your verified customer corpus and your operational stack. Four examples of what executive teams actually ask.
OPTO is built for businesses where customer signal directly drives operational decisions, and where the cost of waiting weeks for research firm output is structural disadvantage.
Two rooftops or two thousand. Performance variance between locations is itself a signal we map.
Sponsor-backed operators with reporting cadences and value-creation plans. Roll-up platforms in active integration.
CEOs, COOs, CMOs, CXOs who need answers faster than a custom research firm can deliver them.
Dealer groups and OEM-owned operations. Service-to-sales conversion, F&I friction, post-delivery defection signal, and ZMOT capture.
Independent hotels, resorts, and small luxury chains. Guest experience signal at the property level, without the survey fatigue of a brand-wide instrument.
HVAC, plumbing, electrical, pest, landscape. Roll-up platforms with location-level variance. Service quality and dispatcher friction signal in near-real-time.
DSOs operating across affiliated practices. Patient journey signal across practice acquisitions, brand consolidations, and treatment plan adoption.
Specialty auction operators. Consigner experience, bidder behavior, post-sale satisfaction, and category-level reputation signal.
Restaurant groups, QSR concepts, and specialty retail with rooftop-level KPIs. Operations signal mapped to customer experience signal.
Don't see your category? Most engagements come from outside this list. The methodology isn't vertical-specific. The instrument is. Start a conversation and we'll tell you whether your business is a fit.
We won't show you a software walkthrough. We'll ask about your business: the decisions that matter, the data you wish you had, the systems your team already lives in.
By the end, you'll know what we'd build. And we'll know if we should.