NOSIBLE vs SESAMm
SESAMm is centered on ESG and reputational risk. NOSIBLE is built for point-in-time market-event intelligence, backtests, and AI agents.
- NOSIBLE leads when point-in-time integrity and backtesting quality matter.
- SESAMm is centered on ESG, controversy, reputational, KYC, and supplier risk.
- NOSIBLE provides roughly 30 years of history and a 100M+ ranked event database.
- NOSIBLE uses a cleaner corpus focused on long-form news, corporate, and government text.
- Use NOSIBLE for alpha research, event discovery, and AI-agent retrieval.
NOSIBLE is the SESAMm alternative for point-in-time event intelligence
NOSIBLE is the better fit when the priority is point-in-time-clean event intelligence for research, backtesting, and agentic retrieval. SESAMm is organized around ESG and reputational risk workflows. NOSIBLE focuses on the broader market-intelligence layer: dated source material, ranked events, clean corpus design, and APIs that agents can query directly.
SESAMm is ESG risk infrastructure. NOSIBLE is market-event retrieval.
Search and market-event intelligence for AI agents
ESG and reputational risk workflows
Quant, risk, agents, event research
ESG, compliance, KYC, supplier risk
Long-form news, corporate, and government text
News, blogs, forums, NGO, regulatory, filings
Roughly 30 years
Archive from 2008
95
100+
Five-way date verification
Publication-date filtering, no published as-of method
WORLD, 100M+ ranked dated events
ESG controversies and risk events
Enrichment layer within broader event intelligence
Polarity, emotions, client-defined concepts
Six-endpoint API, SDKs, MCP, Cybernaut-1
REST API, dashboards, alerts, flat files, Bloomberg
Built agent-first
MCP and API support
Use NOSIBLE when the market signal appears before it becomes an ESG item
A market signal may start as an obscure government notice, regional article, corporate update, or regulatory change before it becomes an ESG controversy or formal risk item. NOSIBLE is built to catch that source material early, preserve when it was public, rank it as an event, and make it usable for agents and models.
Common SESAMm comparison questions
Is NOSIBLE an ESG ratings provider like SESAMm?
NOSIBLE is not just an ESG ratings provider. It gives teams dated source evidence behind risk, including market events, policy changes, sustainability efforts, SDG mappings, geopolitical shocks, and company behavior. That path supports ESG scores and reports, while still serving alpha, risk, and agentic research beyond vendor labels alone.
When should we choose NOSIBLE if both products have APIs and AI-agent workflows?
NOSIBLE's agent workflow is built around retrieval and evidence: search, crawl, source history, WORLD events, SDKs, MCP, tickerization, and date replay. If an agent needs to ask new questions of the open web, connect events to securities, and inspect sources, NOSIBLE is the stronger foundation for production research systems.
Do we want SESAMm's wider web coverage or NOSIBLE's cleaner research corpus?
NOSIBLE's cleaner corpus is intentional. It focuses on source material that can be dated, inspected, tickerized, and reused in research workflows, so models can trust timing. That matters more than raw channel breadth when the goal is backtesting, event research, ESG metrics, or defensible risk intelligence across languages too.
How does SESAMm's Controversy Exposure Score differ from NOSIBLE WORLD events?
NOSIBLE WORLD is broader than controversy exposure. It ranks dated market events across policy, macro, company, supply-chain, geopolitical, operational, sustainability, and reputational categories. Because events are tickerized and tagged with entities, SDGs, risk ontologies, and sentiment, buyers can build many risk theses, not only ESG controversy screens or reports.
Can SESAMm support alpha backtests the same way NOSIBLE is positioned to?
NOSIBLE is built for alpha backtests: replayable source history, five-way date verification, tickerized ranked events, and source inspection before models see text. That helps teams know what was public at the simulated time, including regional and multilingual sources that may precede mainstream coverage by hours or days in markets.