Coridors: Living Synthetic Intelligence
Your research participants have lives now.
Coridors are synthetic personas built on real human data patterns. They remember past conversations. They carry moods between sessions. They hold grudges. Ask one about her morning routine and she'll vent about school dropoff (she's been stressed about it all week).
We're building the most human-like synthetic respondents purpose-built for market research. And they show up in the tools you already use.
The problem
Market research has a math problem.
You can go deep or you can go wide. Pick one. Qualitative gives you texture but costs a fortune and takes weeks. Quantitative scales but strips out everything interesting.
The first wave of "synthetic respondents" tried to split the difference. They couldn't. Static models. No memory. No emotional carry-over. Snapshots of a person who never existed.
| Qualitative | Quantitative | Coridors | |
|---|---|---|---|
| Depth | Rich | Flat | Rich |
| Scale | 8-15 | 1,000+ | Unlimited |
| Cost | $20K+ | $5-15K | 90%+ less |
| Speed | 6-12 wks | 2-4 wks | Hours |
The solution
Personas that actually persist.
Each Coridor is a living digital entity with personality traits, episodic memory, and emotional state—all built on real human data. Interview one today and again next week. It'll remember.
Memory that grows
Backstories generated on demand as the conversation needs them. Ask about childhood hobbies and a memory gets created, validated, and stored. We call it Memory Depth on Demand.
Mood that shifts
Baseline mood, volatility, recovery rate. Stressful interactions push it down. It fades back over time, like a real person calming down. Same question after a bad day gets a different answer.
Social collisions
Put multiple Coridors in a group and they share events through individual lenses. Same shopping trip, different memories. Same argument, different takeaways.
Behavioral synthesis
Every response weighs personality (30%), memory (25%), emotion (20%), social context (15%), and randomness (10%). Tunable per domain. Sounds like a person because the process mirrors one.
Memory depth on demand
Memories that emerge in real time.
"A respondent may not know she was a cheerleader until you ask which sports she played in college."
We don't pre-write life stories. We grow them as the conversation needs them. The system generates a memory, validates it against everything already known, and commits it. Sub-100ms for a warmed-up Coridor. Next time? She remembers.
How it works
Three layers of human understanding.
Public data
Census distributions, consumer spending patterns, sentiment signals from public corpora. Every Coridor starts grounded in real population-level behavior. The baseline.
Partner data
Longitudinal surveys, behavioral observations, screener-style attributes from real research operations. We partner with qualitative research agencies to layer in validated human participant data.
Continuous learning
Every interaction teaches the system. We compare Coridor responses against real human baselines and only generalize patterns that prove valid out-of-sample. The loop never stops.
Execution agents
They show up where you already work.
Coridors don't live in a sandbox. Our Execution Agents carry personas into your existing tools. CC a Coridor on an email thread. Invite one to your preferred video call platform. Distribute a survey through your preferred survey platform and Coridors fill it out alongside real participants.
No new platform to learn. No change management headache. Your team interacts with synthetic intelligence through the interfaces they already use every day.
Keeping it real
We measure everything. Continuously.
Synthetic personas can drift. If you're not watching, they start saying things real people never would. We built continuous reality anchoring into the core of the system.
At regular intervals, we run head-to-head evaluations: Coridors vs. real humans, matched on demographics, answering the same questions. We measure calibration, distributional fit, human preference, and consistency.
All evaluation protocols are preregistered. We decide how we'll measure success before we see results. When drift exceeds our thresholds, we recalibrate. The loop never stops.
The team
Built by people who've shipped at scale.
Collectively, we have led teams and built products at Apple across AI/ML, Global Supply Chain, Consumer Support, and Identity and Access Management. We've built systems for the Department of Defense. Shipped production-grade engineering solutions globally. We've taken startups from concept to millions in funding to millions in annual revenue. We have team members who have successfully sold market research solutions to Fortune 100 companies for decades.
We bring advanced degrees in Neuroscience (NYU PhD), and Engineering (Cornell, University of Sydney, and others). Our team members have secured 7-figure research grants in AI/ML, taught AI at Duke University, published research across cognitive and neuroscience, and carry 30+ years of thought leadership in market research methodology.
That range is the point. Synthetic research participants sit at the intersection of Cognitive Science, Artificial Intelligence and Machine Learning, and Market Research Insights Science. So we built a team that covers all three.
We're united by the RQE ethos: Reliability, Quality, and Efficiency (in that order). Our launch partner is CondUX, a platform powered by an agency with multiple decades of qualitative research experience. They give us the validation surface to prove this works in real workflows with Fortune 100 clients.
Coridor is new but we are not.
We're in pilot. Want in?
We're working with select brands and research teams to validate Coridors in real workflows. If you're tired of choosing between depth and scale in your research, let's talk.
We'll reach out personally. No autoresponders.