Bijani Labs — The Platform

swarm://focus-group-0042 ACTIVE

200

Agents

12.4k

Messages

+31%

Sentiment

94.2

Predictive Acc.

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Persistent Vector Memory

Every agent has a long-term memory stored in a vector DB. They remember what they bought in 2019 and why they hated it.

⚡

Adversarial Reasoning

Agents debate each other. A "Red Team" swarm constantly challenges consensus to surface edge-case objections humans would raise.

⟡

Demographic Synthesis

Inject census data, psychographic profiles, or your own CRM cohorts. Agents emerge statistically representative — not randomly hallucinated.

⌬

Exportable Insights

Every swarm outputs structured reports, quote libraries, persona clusters, and raw conversation logs — compatible with your BI stack out of the box.

JSON CSV Parquet SQL

{
  "swarm_id": "fg-0042",
  "agents": 200,
  "duration_ms": 482103,
  "insights": {
    "top_objection": "pricing tier confusion",
    "sentiment_shift": "+0.31",
    "emerging_persona": "Skeptical Power User",
    "predicted_churn": "12.4%"
  },
  "quote_sample": [
    "I'd pay $14, but not $19. Weird line.",
    "The onboarding felt like a trap.",
    "Why does it need my location?"
  ]
}

Why Bijani Labs

Synthetic vs. traditional research.

Capability	Bijani Labs	Traditional Panels	Survey Tools
Time to insights	47 seconds	2-4 weeks	3-7 days
Sample size	100 - 100,000	100 - 2,000	100 - 10,000
Cost per response	$0.04	$5 - $50	$0.50 - $2
Persona persistence	Vector memory (10yr)	Single session	Single session
Adversarial testing	Built-in Red Team	Not available	Not available
Bias profile	Controlled & measurable	Social desirability bias	Selection & framing bias
Export formats	JSON, CSV, Parquet, SQL	CSV (manual)	CSV, PDF
Recruitment	Zero — fully synthetic	3-14 day screening	Panel-dependent

Integrations

Works with your existing stack.

Native connectors for the tools you already use. No duct tape required.

CRM & Data

Salesforce · HubSpot

Sync segments & history

BI & Analytics

Tableau · Looker · Metabase

Live dashboard sync

Data Warehouses

Snowflake · BigQuery · Redshift

Native SQL exports

Collaboration

Slack · Teams · Notion

Alerts & report sharing

FAQ

Common questions.

How statistically valid are synthetic consumers?

Our agents are calibrated against real census data, psychographic surveys, and consumer behavior datasets. We publish ongoing correlation studies — our latest showed a 0.91 Spearman correlation with a 2,000-person live panel. Predictions are most accurate for category-level insights and least accurate for highly novel, zero-history scenarios.

What data do you need from me to get started?

Nothing at the base tier. Our pre-built persona library covers 200+ demographic segments across 15 markets. For higher accuracy, you can upload CRM cohorts, survey response CSVs, or connect to your data warehouse — the synthesis engine will calibrate agents to your specific audience.

Can synthetic consumers replace real human research entirely?

No. We recommend using SyntheticPulse as a high-speed discovery and iteration layer — run 50 tests before you commit to one live panel. Use real human research for the final validation milestone. Our users typically replace 70-80% of their early-stage research with swarms, saving months and hundreds of thousands of dollars.

How do you handle bias in the synthetic agents?

Every swarm includes a bias audit layer that measures conformity, anchoring, and social desirability effects in agent responses. You can adjust personality diversity parameters, inject adversarial personas, and export bias metrics alongside your results. We're transparent about where our models excel and where they have blind spots.

Is my data private and secure?

Yes. SyntheticPulse is SOC 2 Type II certified, GDPR compliant, and ISO 27001 accredited. All CRM or census data you upload is encrypted at rest and in transit, used only to calibrate your swarm, and never retained after the simulation completes. Enterprise deployments support private VPC, on-prem, and air-gapped configurations.