Decision Intelligence For Capital Allocators

Scale Your Research Capability.
Not Your Headcount.

Pick one US or India-listed company. We'll run the Lantern framework and send you a decision-ready memo — free.

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For family offices · hedge funds · investment managers · PE/VC · research-led allocators

Lantern Labs · Investment Memo
Decision Ready
Company › Meta Platforms, Inc. (NASDAQ: META) →
Snapshot Scorecard
Family of Apps / Economics
Market Opportunity
Capital Allocation
Where We See It Differently
The market reads Meta as "mature." Maturity is true for users — but false for ad-product surfaces, where AI tooling and business messaging are still mid-curve.
Report Index
14 dimensions scored
Anti-thesis · Scenario analysis
Risk map · Failure patterns
Download Meta Report (PDF) →

This sample report is for informational and research purposes only. It is not investment advice, a recommendation, or a solicitation to buy or sell any security.

Sample Output

Don't take our word for it.
Run it yourself.

The Meta glimpse above is one example. Here's a complete report, start to finish — Raghav Productivity Enhancers (RPEL), an India small-cap.

Investment Research · Full Report
Raghav Productivity Enhancers Ltd (NSE: RPEL)
India Small-Cap · Specialty Manufacturing
Snapshot Scorecard
Market Opportunity Founder / Leadership Competitive Advantage Economics Financial Strength Adaptability
Where We See It Differently
Market believesRPEL is a ramming-mass producer exposed to India's steel cycle — a commodity manufacturer.
We believeIt's a productivity-services company selling consumables in an ROI-denominated relationship with real switching costs (2–3 month re-qualification trials) — not a "quality brand" story.
Report Index
14 Dimensions Scored Ownership Intelligence Anti-Thesis Failure Pattern Assessment Risk Map
Decision Intelligence, not Decision Making
Download RPEL Report (PDF) →

This sample report is for informational and research purposes only. It is not investment advice, a recommendation, or a solicitation to buy or sell any security.

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Why Lantern

Generic AI. Analysts. Lantern.

Generic AIAnalystsLantern
Speed — decide in hours✓✕✓
Scale — cover hundreds, not dozens✓✕✓
Continuous Monitoring✕Partial✓
Proprietary Frameworks — 20 years encoded✕Variable✓
Custom to Your Process✕✓✓
Institutional Memory — compounds, not lost✕Partial✓
Unbiased & Consistent✕Variable✓
Cost Efficiency✓✕✓

Every company evaluated on the same framework, every cycle — no exceptions for conviction, familiarity, or fatigue.

What We Deliver

One engine.
Two ways to use it.

01

Research-as-
a-Service

Decision-ready investment memos.

No setup, no software, no prompting. Send a company name — we run the full framework and deliver a finished memo. Human review on every output.

  • Full investment memo · US & India equity
  • Bull / base / bear scenario analysis
  • Formatted to your template
02

Decision Intelligence
Platform

Continuous monitoring, memory, and custom workflows.

A co-branded research platform across your full coverage list. Agents run continuously — flagging changes, updating models, building memory.

  • Co-branded to your firm
  • Financial models updated every results cycle
  • Continuous monitoring · alerts on material change

Who We Serve

Family Offices Hedge Funds Investment Managers Private Equity Venture Capital

The Founder

Tejas Sarvaiya
Tejas Sarvaiya
Founder & CEO, Lantern Labs
LinkedIn

20 years inside India's research-to-execution stack, almost 12 of them at Trust, India's premier capital markets intermediary — starting as an equity analyst whose coverage earned a #1 Bloomberg ranking for a sustained stretch, then managing institutional portfolios, then the youngest senior leader to run the group's Investment Banking practice, then advising large and mid-cap companies on strategy and shareholder value as a management consultant. Lantern Labs encodes that same judgment — research, portfolio management, banking, consulting — into a repeatable framework. This is not AI that generates text. It is judgment, built into a platform.

FAQ

Common questions.

How is quality controlled?
Every output is reviewed by a domain expert before delivery. Lantern flags, the analyst reviews, the client receives a finished output.
What is institutional memory?
Every prior report, valuation, thesis change, and risk flag feeds the next analysis. Knowledge accumulates instead of walking out the door when an analyst leaves.
Can Lantern use our investment framework?
Yes. We encode your filters, thresholds, language, and output format. No existing framework? We deploy our best-in-class default and refine it to match how your team works.
How does continuous monitoring work?
Agents pull filings, earnings, and transcripts the moment they drop, evaluate them against your framework, and flag material changes for analyst review — without anyone needing to remember to check.
How often are models updated?
Financial models update every results cycle, and sooner if a material event occurs in between.
What markets do you cover?
US and India equity today, calibrated to each market's disclosure norms and governance patterns. Additional markets are added based on client coverage needs.
How is data sourced?
Primary filings (10-K, 10-Q, 8-K), earnings calls and transcripts, and market data — not aggregated secondhand summaries.
Is this software or a service?
Both. Research-as-a-Service delivers finished memos with no setup. The Decision Intelligence Platform is software, configured to your process, with human review built in.
How long does implementation take?
Most clients see a first output within days. Full platform configuration to your process typically takes a few weeks, depending on coverage list size.
How does pricing work?
Pricing depends on coverage list size and which product fits your workflow. Book a demo and we'll scope it to your needs.
Can we white-label the platform?
Yes. The Decision Intelligence Platform can be co-branded to your firm.
Do you support PE / VC / public markets?
Yes — the framework is calibrated separately for public equity diligence and private company / deal evaluation.
Who owns the research and data?
You do. Reports, models, and any data you provide remain your property.
Can Lantern integrate with our existing workflow?
Yes. Outputs can be delivered to your inbox, formatted to your template, or pushed into your existing systems — configured during implementation.

Get Started

See Lantern analyze
one of your companies.

No commitment before you've seen it work.

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Or write directly: contactus@lanternlabs.net