One workflow, stated plainly.
Each record receives one navigation lane using its publicly described primary workflow. Cross-cutting methods remain visible on the record itself.
Synthetic Research & Simulation Landscape / v0.3
A field map, not a leaderboard.
This landscape separates systems by their stated primary workflow before anyone compares their outputs. It is a route into source records—not a claim that every record is scientifically equivalent, validated, or suitable for the same decision.
How to read this map
Keep category, evidence, and outcome distinct.
A category map is useful only if it resists converting positioning into proof. These are the boundaries applied to every record.
Evidence is not inferred from placement.
Claim documentation, artifacts, method review, reproduction, human-reference validation, and limits remain separate checks—not a composite score.
Like is compared with like.
Human-participant systems, synthetic respondents, population models, and benchmarks can share a landscape without being treated as interchangeable.
Registry view / classification v0.3
Browse the field by primary workflow.
Each record receives one navigational lane from its public description. Lanes are not scores, maturity levels, or scientific conclusions.
26 / 26 records
Synthetic research workflows
Systems described as conducting research activities with generated audiences, panels, or respondents.
mindsSource review
Minds
Minds AI
Minds describes a synthetic research workflow built around reusable AI-generated audiences, panel responses, interviews, and structured research outputs.
- Registry relation
- Core buyer overlap
- Evidence checks
- 2 / 6 recorded
- Source record
- 2 sources · 2026-07-17
synthetic-usersSource review
Synthetic Users
Synthetic Users
Synthetic Users presents an AI-powered user-research workflow using synthetic participants for interviews, discovery, and concept or messaging tests.
- Registry relation
- Core buyer overlap
- Evidence checks
- 2 / 6 recorded
- Source record
- 2 sources · 2026-07-17
sampl-spaceSource review
sampl.space
sampl.space
sampl.space describes survey research using synthetic personas derived from General Social Survey respondent data and individual agent profiles.
- Registry relation
- Core buyer overlap
- Evidence checks
- 2 / 6 recorded
- Source record
- 2 sources · 2026-07-17
market-logic-deepsightsSource review
Market Logic DeepSights
Market Logic Software
DeepSights Personas describes enterprise persona agents and synthetic panels grounded in proprietary research, surveys, transcripts, and knowledge bases.
- Registry relation
- Core buyer overlap
- Evidence checks
- 1 / 6 recorded
- Source record
- 1 source · 2026-07-17
delve-aiSource review
Delve AI
Delve AI
Delve AI describes synthetic users generated from first-party and public audience data for surveys, interviews, focus groups, and concept testing.
- Registry relation
- Core buyer overlap
- Evidence checks
- 1 / 6 recorded
- Source record
- 1 source · 2026-07-17
evidenzaSource review
Evidenza
Evidenza
Evidenza describes a synthetic research platform for surveying and interviewing AI-generated customer and buyer profiles in marketing and sales workflows.
- Registry relation
- Core buyer overlap
- Evidence checks
- 1 / 6 recorded
- Source record
- 1 source · 2026-07-21
bluepill-aiSource review
BluePill AI
BluePill
BluePill describes on-demand AI personas for consumer-insight workflows, including testing messaging, packaging, advertising, and concepts.
- Registry relation
- Core buyer overlap
- Evidence checks
- 1 / 6 recorded
- Source record
- 1 source · 2026-07-21
decisions-labSource review
Decisions Lab
Decisions Lab
Decisions Lab describes simulated buyer research for B2B go-to-market teams, focused on testing segments, messages, and pain triggers before committing budget.
- Registry relation
- Core buyer overlap
- Evidence checks
- 1 / 6 recorded
- Source record
- 1 source · 2026-07-21
fairgenSource review
Fairgen
Fairgen
Fairgen describes a survey-data augmentation workflow that generates predictive respondents from a customer's existing survey data for analysis of hard-to-reach or underrepresented segments.
- Registry relation
- Broader category
- Evidence checks
- 1 / 6 recorded
- Source record
- 1 source · 2026-07-21
inqveySource review
Inqvey
Inqvey
Inqvey describes synthetic survey responses for early-stage, directional research, with a published framing of methodology and use limitations.
- Registry relation
- Core buyer overlap
- Evidence checks
- 2 / 6 recorded
- Source record
- 1 source · 2026-07-21
Synthetic respondents & personas
Systems centered on generated users, buyer clones, audience agents, or persona-level interaction.
lakmoosSource review
Lakmoos
Lakmoos AI
Lakmoos describes AI respondents for surveys and interviews, with private data integration and vendor-reported benchmarking against human survey data.
- Registry relation
- Core buyer overlap
- Evidence checks
- 1 / 6 recorded
- Source record
- 1 source · 2026-07-17
buyertwinSource review
BuyerTwin
BuyerTwin
BuyerTwin describes AI-powered buyer clones for buyer-alignment analysis and simulated feedback on messaging, sales, product, and market decisions.
- Registry relation
- Core buyer overlap
- Evidence checks
- 1 / 6 recorded
- Source record
- 1 source · 2026-07-17
electric-twinSource review
Electric Twin
Electric Twin
Electric Twin describes a platform for building synthetic audiences from customer or real-world data and querying them for research, concept, messaging, and strategy decisions.
- Registry relation
- Core buyer overlap
- Evidence checks
- 1 / 6 recorded
- Source record
- 2 sources · 2026-07-21
personapanelsSource review
PersonaPanels
PersonaPanels
PersonaPanels describes synthetic respondent panels built from selected research and behavioural data inputs for repeated testing and market monitoring.
- Registry relation
- Core buyer overlap
- Evidence checks
- 2 / 6 recorded
- Source record
- 2 sources · 2026-07-21
beehive-synthetic-personasSource review
Beehive AI Synthetic Personas
Beehive AI
Beehive AI describes a workflow that turns customer data into generative-AI personas that teams can question and use to explore product, marketing, and customer-experience hypotheses.
- Registry relation
- Core buyer overlap
- Evidence checks
- 1 / 6 recorded
- Source record
- 1 source · 2026-07-21
gwi-synthetic-audiencesSource review
GWI describes synthetic audiences grounded in its survey data that can be queried as personas or brought into simulated focus-group workflows.
- Registry relation
- Core buyer overlap
- Evidence checks
- 2 / 6 recorded
- Source record
- 1 source · 2026-07-21
uxiaSource review
Uxia
Uxia
Uxia describes AI-powered synthetic testers that explore product interfaces and answer qualitative research questions for rapid UX and user-research workflows.
- Registry relation
- Broader category
- Evidence checks
- 2 / 6 recorded
- Source record
- 2 sources · 2026-07-21
twynSource review
Twyn
Twyn
Twyn describes synthetic users generated from behavioural, statistical, and market-research data with visible authenticity and consistency indicators.
- Registry relation
- Broader category
- Evidence checks
- 2 / 6 recorded
- Source record
- 1 source · 2026-07-17
replismSource review
Replism
Replism
Replism describes a synthetic audience platform grounded in real response data and supported by a research-engineering workflow.
- Registry relation
- Broader category
- Evidence checks
- 2 / 6 recorded
- Source record
- 1 source · 2026-07-17
askreplicasSource review
AskReplicas
AskReplicas
AskReplicas presents a platform for interviewing and surveying synthetic replicas built from demographic definitions or uploaded organizational data.
- Registry relation
- Broader category
- Evidence checks
- 2 / 6 recorded
- Source record
- 1 source · 2026-07-17
Population & behavioural simulation
Systems described as modelling populations, behaviours, or decisions at an aggregate level.
aaruSource review
Aaru
Aaru
Aaru describes a multi-agent simulation and behavioural modelling platform that generates populations for prediction and decision support.
- Registry relation
- Core buyer overlap
- Evidence checks
- 1 / 6 recorded
- Source record
- 1 source · 2026-07-17
epistemixSource review
Epistemix
Epistemix
Epistemix describes large population models used for consumer insight, segmentation, forecasting, and scenario-based decision support.
- Registry relation
- Core buyer overlap
- Evidence checks
- 1 / 6 recorded
- Source record
- 1 source · 2026-07-21
vurvey-labsSource review
Vurvey Labs
Vurvey Labs
Vurvey Labs describes simulated populations of Human AI agents for consumer research, concept testing, market simulation, and innovation workflows.
- Registry relation
- Core buyer overlap
- Evidence checks
- 1 / 6 recorded
- Source record
- 2 sources · 2026-07-21
mirofishSource review
MiroFish
MiroFish open-source project
MiroFish is an open-source multi-agent scenario-simulation project that describes constructing a knowledge graph from source materials and simulating agent interaction to produce prediction reports.
- Registry relation
- Broader category
- Evidence checks
- 2 / 6 recorded
- Source record
- 1 source · 2026-07-21
Human-participant research systems
AI-supported research workflows that collect evidence from recruited human participants rather than synthetic respondents.
listen-labsSource review
Listen Labs
Listen Labs
Listen Labs describes an AI-managed research workflow that recruits human participants, conducts interviews, and synthesizes cited findings.
- Registry relation
- Core buyer overlap
- Evidence checks
- 1 / 6 recorded
- Source record
- 1 source · 2026-07-17
Evaluation infrastructure
Benchmarks, test suites, and other systems intended to assess synthetic-research claims or outputs.
synthbenchMethod review
SynthBench
DataViking-Tech
SynthBench is an open-source benchmark and leaderboard for measuring how closely synthetic survey responses match human opinion distributions.
- Registry relation
- Evaluation infrastructure
- Evidence checks
- 4 / 6 recorded
- Source record
- 1 source · 2026-07-17
What comes next
A category map is a starting point for better evidence.
Submit a correction or additional primary source for any record. Material classification changes appear in the public correction log . Comparative results belong in a preregistered benchmark with a task, a human reference, reproducible methods, and an explicit uncertainty boundary.