Autonomous Investment Research Platform

Data is everywhere. Attention is the real edge.

Nymloth runs your unique research process autonomously, shortening the path from data to insights. So you can focus on what actually compounds: judgment.

The Opportunity

Information exploded. The capacity to make sense of it didn’t.

Investment conviction comes from a well-curated mosaic of research. We can now access an ever-growing surface of information,1 which is no longer an advantage — but generating insight from it is. Reading it in context. Comparing it across sources, peers and periods. Weighing the qualitative against the quantitative. Across every company, simultaneously, faster than the market can. So we can synthesize a coherent view, consistently.

Nymloth is built to turn this asymmetry into your edge. Autonomous research infrastructure that runs your process across every company, every source, continuously — so that when the moment comes (an earnings miss, a sector dislocation, an activist filing), you’re not scrambling to build a view. You already have one.

1 Job postings, web and social media trends, trade journals, forums, management credibility comparisons, legal and regulatory documents, customer reviews — to name a few.

How It Works

Diligence, delegated.
Intelligence, compounded.

Nymloth is the infrastructure that orchestrates your research process and delivers the research assets for your investment decisions: Autonomously, at any scale, compounding with every iteration.

01 — Configure

Creating a Workflow

Assemble your process

Tell Nymloth how you work by building workflows block by block. Modify block instructions to reflect your style, principles, methods: what matters in an earnings call, how you structure a company overview, the models used to value companies. Configure once — deploy to any number of companies, forever.

// Your instructions become the system
"Focus on unit economics and CAC payback.
 Flag management hedging language.
 Output in Wall Street format."

Add a company. Research runs on rails.

Workflows are assigned to lists. Drop a new name into your portfolio and every workflow on that list fires automatically — earnings analysis, filing review, valuation model, all in parallel. Outputs land in Google Docs and Sheets, ready to review.

20 companies or 200, processed in an hour, not weeks.

// Add Qualcomm to Portfolio
→ Earnings Analysis triggered
→ Sustainability Analysis triggered
→ Valuation Model triggered
// 3 reports delivered in ~1 hour

Comment, refine, ship — like with a colleague

Outputs land in Google Docs and Sheets. Leave comments, ask for changes, share with your team. The system incorporates your feedback, and every future run reflects it. No “one-shot perfection” needed — the best research is iterated, not generated.

// Your feedback compounds
Draft → your comment → revision
→ your comment → final
// Next run starts where this one left off

Nymloth Difference

No chatbot. No search bar. Finished work.

Most AI in finance is designed top-down. Nymloth is built to make each person radically more capable. The same way coding agents won — adopted by individuals, not selected by committees.

Other tools dump thousands of documents into a vector database and let you query them. They process in bulk. You still do the thinking, the structuring, the writing.

Operates exactly as a smart researcher would

Nymloth reads a filing the way you would — with context about the company, your investment thesis, and what changed since last quarter. It doesn’t retrieve document fragments. It reasons through them, connecting information across sources to build a complete picture.

AI copilots give you “AI-generated” answers — generic, hedged, unmistakably machine-written. You can always tell. You still rewrite everything before it’s usable.

With your voice. 10x faster. 10x better.

Outputs read like they came your clone, having 10x more tools and 10x more time than you have. Because the system learns your preferences, structures, and investment philosophy — and applies them to every output. Indistinguishable from how work already happens.

Enterprise platforms need 6–12 month sales cycles, IT integration, and $100K+ contracts. Built for procurement committees. Targeting organizational imperatives, not individual investors. No self-serve option exists.

Sign up. Get your first deliverable in minutes.

No setup. No sales call. No IT department needed. Usage-based pricing, no contracts, no minimums. Designed for a 2-person fund the same as for a 200-person firm. We build for investors.

Every competitor builds a proprietary UI — another dashboard, another tab, another learning curve. Another tool to integrate into your workflow. Another interface your team has to adopt.

Delivers into tools you already live in

Google Docs. Google Sheets. Excel. Word. No new interface to learn. No learning curve. Iterate by commenting, just like you would with a human analyst. Version history built in. Share with anyone, human or agent.

Use Cases

Built for how investors actually work

Whether you manage a concentrated book or screen across hundreds of names, Nymloth adapts to your process — not the other way around.

Conviction without fresh intelligence is just hope

Whether you manage a concentrated book of 15 names or screen across 200, Nymloth maintains a living knowledge base for every company, one anchored to your investment style, your process, and the history you’ve built with each name. Research does not mean late nights — it means reviewing completed work in the morning.

The best investors know that being lucky is a skill. Volatile earnings? Market crash? Spin up an analyst army in minutes. Reduce the unknowns faster than your competitors can. Full decision readiness, exactly when careers are made.

Allocating was one decision. Overseeing is a thousand.

Your managers know every name in their book — you have to take their word for it. Nymloth gives you the depth to challenge your managers with substance, not just the right to ask questions. You own the outcome. You should own the analysis. Responsible stewardship demands real tools.

  • LP letter analysis and comparison
  • Portfolio risk and decision analysis
  • Sustainability and engagement analysis
  • Forensic Red Flag Screen
Manager Quarterly Review — Q3 2026
Delivered to Google Sheets · 3 hrs ago
Managers Tracked24 active
Holdings Changes47 this quarter
Overlap Score12.3% avg
Style Drift Alerts2 flagged
Notable Shifts

Fund B increased tech allocation from 28% to 41% over two quarters — exceeds mandate threshold. Fund D letter tone shifted defensively, increased cash position to 18%...

Produce like a large desk. Think like a boutique.

Research rewards differentiation. Nymloth gives independent researchers and lean teams the production capacity of a full desk. The hours no longer disappear into the same groundwork — filings, models, comps, formatting. Nymloth handles the preparation so you focus on what clients actually pay for: original insight.

  • Initiation-of-coverage research
  • Earnings preview and review
  • Comparable company analysis
  • Client-ready formatting and delivery
  • Sector-specific monitoring and flagging
Coverage Initiation — Datadog (DDOG)
Delivered to Google Docs · 45 min ago
Sections12 completed
Sources Cited84 documents
Financial Modellinked in Sheets
StatusREADY FOR REVIEW
Analyst Action Required

Draft complete. Two items flagged: (1) conflicting ARR growth figures between 10-K and investor presentation — needs verification, (2) competitor pricing data may be stale...

Your competitors report to you. Are you reading?

Competitors disclose more than you realise — strategic pivots, capital allocation shifts, product announcements, hiring plans, demand signals, leadership changes. Use Nymloth to track it all, continuously. Some weeks it’s a footnote in a briefing. Other weeks it redirects a product roadmap, reshapes a sales strategy, or reweights a budget. The difference is having the intelligence when it matters, not discovering it after the fact.

  • Market Expansion
  • Product Direction
  • Customer and Supplier Intelligence
  • Capital Allocation
Competitive Map — Cloud Infrastructure
Delivered to Google Sheets · Updated daily
Companies Tracked18 active
Data Points / Week~340
Price Changes (30d)3 detected
Hiring VelocityDIVERGING
Key Signal

AWS reduced reserved instance pricing by 8–12% across 3 regions — first cut in 14 months. GCP engineering headcount up 23% QoQ per LinkedIn data, concentrated in TPU/ML infra teams...

Workflows

Start here. Make it yours.

Ready-made templates for the research workflows investors run most. Every block is customizable, every workflow a starting point. Build what your process requires.

Per quarter

Earnings Call Analysis

Transcript analysis with management tone assessment, guidance changes, key metric tracking, and flagged signals based on your criteria.

Per company

Investment Memo

Structured investment case with thesis, risks, competitive dynamics, financial overview, and valuation. Your template, your emphasis.

Continuous

Valuation Model

Auto-updating financial model in Google Sheets — DCF, comps, sum-of-parts. Your preferred methodology, refreshed with every new data point.

As needed

Market & Industry Research

Deep-dives, competitive landscapes, thematic analyses. Synthesized from SEC filings, web sources, market data, and earnings transcripts.

Ongoing

Filing Analysis

10-K, 10-Q, 8-K, proxy — changes flagged, risk factors tracked, material disclosures highlighted against your watchlist.

Daily / Weekly

Monitoring & Alerts

Holdings changes, newsflow, price/volume alerts, management changes, short interest — filtered to what matters to you.

Transparent Pricing

You’ve been paying for tools. Start paying for outcomes.

We’re the only investment research platform that shows you the price before you talk to sales — because we’ve sat through those calls. No commitment to start.

Alpha is the investor’s job.
We handle the rest.

No sales call. No setup. No IT department. First deliverable in minutes.