How DLT’s chatbot turns fragmented public market data into a structured view of the companies driving the next generation of biotech.
Chatbot prompts to access highly curated data

Longevity.Technology’s DLT (decoding longevity trends) platform is an AI-native intelligence service that turns the fragmented longevity biotech landscape into a living, queryable dataset so pharma BD teams, investors and operators can find their next deal in minutes, not weeks and months.
Example DLT Chatbot prompt
When you access DLT, you can use the chatbot to run a query like this: “I want to build a longevity investment portfolio of publicly quoted aging disease and longevity biotech companies, provide me with a balanced portfolio recommendation across all public markets.”
Chatbot results
The opportunity is less about “living forever” and more about treating the diseases of aging by targeting the underlying biology that drives them. The challenge for public-market investors is that this theme is hard to index: many companies doing relevant work don’t call themselves longevity companies, and many companies that do adopt the label can be early-stage and volatile.
That’s why a practical longevity portfolio needs a disciplined search process; one that starts with biology, not buzzwords.
A mechanism-first way to search for longevity exposure
Most public biotechs are categorized by disease area: neurology, oncology, immunology, cardiometabolic disease, rare disease. Longevity cuts across all of them. Instead of screening for the word “aging,” I built the portfolio around the hallmarks of aging; recurring biological failure modes such as cellular senescence, chronic inflammation, loss of proteostasis, mitochondrial dysfunction, epigenetic alterations, telomere attrition, and altered intercellular communication.

This matters for investors because hallmarks behave like upstream drivers. A platform that can modulate one hallmark may create multiple shots on goal across several diseases and organs. In other words, a mechanism-first lens can reveal pipeline optionality that a disease-label lens hides.
The investable constraint: public-only, and every holding must matter
Biotech investing is defined by non-linear outcomes: one clinical readout can reshape a company’s value overnight. The easiest way to blow up a longevity portfolio is to accidentally build a concentrated bet on one modality, one disease area, or a handful of binary trials.
So a portfolio construction uses two constraints:
- Publicly held only (investable via public markets).
- Minimum 3% per position, so each holding is meaningful, while still limiting single-name concentration.

The result is a sleeve-based structure designed to diversify how returns can happen:
- Core clinical exposure: companies with broader pipelines and meaningful clinical-stage activity, intended to anchor volatility.
- Regeneration sleeve: cell and tissue repair exposure to diversify away from small-molecule-only approaches.
- Platform/AI sleeve: scaled discovery engines that can generate multiple candidates over time; more “experiments” running in parallel.
- Optionality sleeve: smaller, higher-upside exposures sized so no single event dominates the portfolio.

Why include an AI-driven discovery company?
Aging biology is complex and highly interconnected. In that environment, repeatability matters. This is one reason to include a platform-driven name like Insilico Medicine in a longevity portfolio: the investment thesis is not a single program, but the ability to repeatedly generate and advance new candidates across diverse targets and indications. Platform exposure won’t eliminate trial risk, but it can change the portfolio’s profile from “one big bet” to “many ongoing bets.”
The portfolio (balanced; 15 holdings; ≥3% each)
Investing in shares and other investments involves risk, including the potential loss of some or all of the capital invested:
CONSIDER: Core clinical exposure (49%)
- Alnylam Pharmaceuticals (14%)
- Denali Therapeutics (9%)
- Mesoblast (9%)
- Anavex Life Sciences (6%)
- Regenxbio (5%)
- Amylyx Pharmaceuticals (3%)
- Alector (3%)
CONSIDER: Regeneration / cell & tissue repair sleeve (21%)
- Celularity (7%)
- SanBio (7%)
- FibroBiologics (7%)
CONSIDER: Platform / AI discovery sleeve (16%)
- Insilico Medicine (10%)
- Recursion Pharmaceuticals (6%)
CONSIDER: Optionality sleeve (14%)
- BioAge Labs (5%)
- Arvinas (5%)
- Telomir Pharmaceuticals (4%)

This mix is intentionally not “pure longevity marketing.” It is a public-market attempt to own multiple routes to progress in aging biology: RNA and gene-based approaches, neurodegeneration exposure, regenerative medicine, protein-level interventions, and scaled discovery.
How to manage it: simple rules beat strong opinions
A longevity biotech basket will be volatile. The point is not to avoid drawdowns; it’s to avoid having one drawdown become permanent.
A practical maintenance approach:
- Rebalance quarterly (or semiannually if you prefer lower turnover).
- Use drift bands (e.g., rebalance when a holding moves ±25–35% relative to its target weight).
- Avoid “event trading” unless your thesis changes (one trial readout is information; it shouldn’t automatically force a portfolio-wide redesign).
The takeaway
Longevity investing isn’t one trade. It’s a pipeline and diversification problem. A mechanism-first screen can surface relevant exposure that disease labels miss, and a sleeve-based portfolio can spread risk across modalities and stages while keeping every holding meaningful. The result is a public-market longevity portfolio built to survive the field’s reality: progress is real, timelines are long, and outcomes arrive in discrete, often surprising steps.




