Bijani Labs generates lifelike synthetic consumers that behave, decide, and respond like real people — at population scale. Run focus groups, A/B tests, and brand trackers without recruiting a single participant.
From product launches to crisis response — synthetic consumers that think, react, and reveal.
Test messaging, pricing, and features against 10,000 synthetic consumers before going to market.
Run 1,000 variant A/B tests on synthetic audiences in minutes. Surface winning creatives before spend.
Stress-test PR responses and brand positioning against synthetic populations before a real crisis hits.
Validate TAM, willingness-to-pay, and adoption curves with simulated consumer cohorts.
Platform Features
Six capabilities that make synthetic consumers behave like the real thing — or better.
Every agent has a long-term memory stored in a vector DB. They remember what they bought in 2019 and why they hated it.
Agents debate each other. A "Red Team" swarm constantly challenges consensus to surface edge-case objections humans would raise.
Inject census data, psychographic profiles, or your own CRM cohorts. Agents emerge statistically representative — not randomly hallucinated.
Each query is automatically routed to the best backend LLM: reasoning to V4 Pro, knowledge to Qwen 3.7 Max, coding to Kimi K2.6, structured output to GLM 5.1, high volume to V4 Flash.
Every swarm includes automated bias measurement — conformity, anchoring, social desirability effects — exported alongside your results.
Structured reports, quote libraries, persona clusters, raw logs. JSON, CSV, Parquet, SQL. Compatible with your BI stack out of the box.
How It Works
No coding. No recruiting panel participants. No waiting weeks for results.
Describe your target audience in natural language. "Urban millennials, 25-34, income $75k+, interested in sustainable CPG." Or upload a CSV of your CRM segments. Our synthesis engine generates statistically valid personas with purchase histories, media diets, and psychological profiles.
Choose your research format — focus group, A/B test, brand tracker, or open-ended exploration. Set the swarm size (100 to 100,000 agents). Each agent spawns with its own vector memory, opinion formation model, and communication style. The swarm begins debating in seconds.
As the swarm converses, our insight engine streams real-time sentiment, emerging themes, persona clustering, and objection heatmaps. When the simulation ends, download structured reports — quote libraries, statistical summaries, and raw logs — ready for your BI tools or presentation deck.
Architecture
A purpose-built stack for high-fidelity consumer simulation at scale.
Kafka-compatible event streams, CDC pipelines from your CRM, real-time social firehose.
Serverless agent schedulers with message brokers for asynchronous gossip and debate loops.
Distributed vector DBs (Pinecone/Weaviate) with RAG-backed persona recall. Every agent has a 10-year memory.
Streaming aggregation, cluster analysis, and LLM-summarized reports on a 5-minute cadence.
Deployed on AWS / Azure / GCP — multi-region with dedicated tenancy options.
Latest research
BENCHMARKS
DeepSeek V4 Pro vs Flash, Qwen 3.7 Max, Kimi K2.6, GLM 5.1 — human correlation, pricing, latency, and model selector guide.
ENGINEERING
Under the hood of our agent orchestration layer: opinion propagation graphs, adaptive debate rounds, and vector memory architecture.
RESEARCH
47 side-by-side experiments comparing synthetic consumer responses to traditional human panels. The results surprised our research team.
Security & Certifications
Your data is protected by industry-standard controls and independent third-party verification.
Annual audit by independent CPA firm covering security, availability, and confidentiality.
Certified information security management system with annual surveillance audits.
Business Associate Agreement (BAA) available for enterprise customers handling PHI.
Data residency in EU/US/APAC regions. Data Processing Agreement (DPA) signed on request.
Stop guessing what people think. Start generating truthful, bias-free consumer intelligence at scale.
