Assured Asset Management

28/05/2026

A landmark moment for quantum computing.

Honeywell (NASDAQ: HON) has announced that Quantinuum, one of the most advanced full-stack quantum computing companies in the world, has publicly filed its Form S-1 with the SEC for a proposed IPO on the Nasdaq Global Select Market under the ticker "QNT."

For an industry that has long lived in the language of research papers and long-horizon roadmaps, this is a meaningful shift. Quantum computing is stepping into the public markets — not as a promise, but as a category with real commercial traction. Quantinuum's engagements already span pharmaceuticals, materials science, financial services, and government and industrial markets, supported by a global footprint across the U.S., U.K., Germany, Japan, and Singapore.

What makes this milestone particularly exciting is what it signals about the maturation of deep tech as an asset class. The companies building the foundational layers of tomorrow's economy — quantum, AI, advanced infrastructure — are no longer waiting at the edge of the capital markets. They are entering them.

Milestones like this redraw the frontier of what's possible. At Assured, that is the map we invest by.

https://reurl.cc/dpjXlD

19/05/2026

Function has spent the last few years building something genuinely different — a platform that gives people a real, continuous picture of their own health. Labs, imaging, clinician guidance. Not a single snapshot, but an ongoing baseline.

The acquisition of SuppCo takes that further. SuppCo rates supplements — 35,000+ products tested through ISO-accredited labs, with a certification program that buys products off the shelf anonymously and checks what's actually inside. Worth noting: they don't sell supplements. Their only incentive is accuracy.

Function sees this as the next step toward an AI health operating system — one with an independent action layer that connects continuous tracking with the inputs that actually shape your biology. If Function tells you what's happening in your body, SuppCo helps you understand what you're putting into it.

Third acquisition in under a year. Ezra for imaging, Getlabs for at-home blood draws, now SuppCo. Each one fills a real gap.
The roadmap is clear.

https://www.functionhealth.com/article/function-acquires-suppco-to-bring-trust-and-clarity-to-supplements

10/05/2026

Two companies we believe in. One deal that reflects a broader shift in how AI infrastructure is being built.

This week, Anthropic announced it has secured full access to SpaceX's Colossus 1 data centre in Memphis — a facility housing over 220,000 NVIDIA GPUs and delivering more than 300 megawatts of compute capacity. The agreement directly addresses a problem Anthropic's CEO Dario Amodei described candidly at the company's developer conference: the business grew 80x in Q1 on an annualized basis, far outpacing the 10x they had planned for. Infrastructure, not ambition, became the constraint.

The partnership is practical in the near term — expanded capacity for Claude users, higher developer rate limits, fewer bottlenecks. But the longer-term signal is worth noting. Both companies have expressed interest in developing gigawatts of orbital, space-based compute — a frontier that, until recently, existed only in roadmap discussions.

Amodei framed the developer adoption of Claude as an early indicator: "It's a foreshadowing of how things are going to work across the economy." We think he's right.

We remain long-term believers in both teams and the work ahead.

Learn more
https://www.anthropic.com/news/higher-limits-spacex

16/04/2026

The Financial Times cited an interesting data point last weekend, from Ramp's AI Index tracking $100B in real corporate spend.

Anthropic's share of paying U.S. businesses jumped 6+ points in a single month. The gap with OpenAI is down to 4.6 points from 11 in February.

What's more telling: the best predictor of AI adoption isn't industry — it's who funded you. VC-backed companies adopt AI at 80%. And among that group, the most sophisticated buyers in the market, Anthropic already leads OpenAI 66% to 59%.

In tech, where the most sophisticated buyers go first, the broader market tends to follow.

📖 https://reurl.cc/4ldroj

04/03/2026

The frontier AI capital cycle is consolidating.
Anthropic announced a Series G round at a reported $380B post-money valuation — reinforcing how capital is concentrating around a small number of scaled model platforms.
At this stage, the discussion is less about model benchmarks and more about structural durability: compute access, enterprise embedding, and long-term policy navigation.
Regulatory scrutiny from U.S. policymakers is not a side story — it is part of the operating reality for frontier AI. Scale attracts oversight.
As allocators, the underwriting question is straightforward:
Can frontier platforms sustain technological leadership and operate effectively within an evolving governance framework?
That is where long-duration value will ultimately be determined.

Learn more
https://reurl.cc/k8GYK9

15/02/2026

Lunar New Year — The Year of the Horse

The Year of the Horse is often associated with forward momentum,
but it also reflects judgment, balance, and timing —
knowing when to move, and how far to go.

As the new year unfolds,
we move ahead with intention,
keeping our pace measured
and our direction clear,
allowing progress to take shape naturally over time.

Wishing you a steady and rewarding Lunar New Year.

05/02/2026

SpaceX × xAI: Beyond the $1.25T Valuation — What May Matter Next

According to Reuters, Elon Musk’s SpaceX has completed its merger with xAI, bringing the combined valuation to around $1.25 trillion.
This appears to be more than a capital markets event — it suggests early positioning for the next phase of technology integration and market narrative.

Key observations
• The combination brings AI capabilities closer to space and communications infrastructure

• Market valuation reflects not only current businesses, but expectations around long-term platform integration

• With IPO discussions continuing to circulate, the structural shift carries strategic implications

What stands out is not simply the change in ownership structure, but how companies may be preparing for future demands around compute, data, and infrastructure.

From launch systems to global connectivity and AI capabilities, the direction points toward deeper integration across technology layers.

As AI evolves beyond standalone models and begins extending into platforms, systems, and long-term operational capabilities, company positioning — and the way markets frame these businesses — may continue to shift.

Learn more
https://reurl.cc/W82nVx

20/01/2026

What Asian LPs ask that often surprises U.S. managers

In cross-border discussions, the first questions usually set the tone.

Over the past three years of expanding our investment landscape across Asia and the U.S., I’ve observed that questions from Asian capital partners tend to focus on downside scenarios, exit visibility, and governance—sometimes before allocation size even comes up.

This isn’t about being conservative. It reflects how capital is managed across cycles, currencies, and portfolios. That’s why cross-border capital isn’t just about access—it’s about translation: aligning expectations on risk, structure, and time horizon from the start.

When that alignment is clear, partnerships tend to last.

01/01/2026

A new year is a good moment to pause and look ahead.

Over the past year, we stayed focused on what we believe in — discipline, patience, and long-term thinking. Progress doesn’t always come in big moments. More often, it shows up through consistency, learning, and trust built over time.

We’re grateful for the partners and teams who continue this journey with us, and for the opportunity to keep building — thoughtfully and responsibly.

“And now we welcome the new year, full of things that have never been.”

As we step into the year ahead, we do so with clarity, curiosity, and a steady commitment to decisions that compound over time.

Wishing everyone a healthy, meaningful, and hopeful New Year.

30/12/2025

When the world talks about AI, most of the attention still goes to training.
But at scale, the real bottleneck — economically and operationally — is inference.

That’s why the announcement from Groq and NVIDIA matters.

NVIDIA is the backbone of today’s training stack.
What the ecosystem needs next is deterministic, ultra-low-latency, cost-efficient inference — the kind required when AI moves from flashy demos to always-on, real-time production systems.

Groq’s LPU (Language Processing Unit) was built for exactly this moment:
•predictable latency (no jitter)
•linear scalability
•economics that actually work at inference scale

This is not about replacing GPUs.
It’s about complementing them where inference becomes the limiting factor.

From an investor’s perspective, this reinforces a long-held conviction of ours:
architecture matters. Not all compute is interchangeable, and inference is not just “training, but cheaper.”

We backed Groq because we believed LPUs would become essential infrastructure as AI workloads mature — not as an alternative narrative, but as a necessary one.
Seeing NVIDIA lean into this direction only strengthens that belief.

Frontier technology doesn’t scale by brute force alone.
It scales when the right architecture meets the right moment.

Learn more → https://groq.com/

The Groq LPU delivers inference with the speed and cost developers need.