Tropic

Magic AI

Tropic

Tropic charges an annual subscription based on the customer's software spend under management. The platform pays for itself through savings — if Tropic helps a company save $500,000 on software renewals, the subscription cost is a fraction of that.

Some pricing includes a success fee tied to actual savings achieved.

The value proposition is mathematically clear: Tropic typically saves customers 23% on their SaaS spending. For a company spending $5 million annually on software, that's $1.15 million in savings.

Tropic's subscription fee is a small percentage of those savings, making the ROI calculation trivially obvious.

The data moat grows with every customer. Each contract that flows through Tropic adds to their pricing benchmarks database, making their negotiation intelligence more accurate for future customers.

This is a classic network effect — the more companies use Tropic, the better it works for everyone.

Magic AI

Magic is building an AI that works like a software engineer, not a chatbot. The goal is a model you can hand a whole code base and a task, and it writes, reviews, and debugs like a teammate.

Their edge is memory. In 2024 they showed off LTM-2-mini, a model with a 100 million token context window.

To put that in perspective, that is about 10 million lines of code the model can look at in one shot, by far the biggest of any model at the time. The plan is to sell this as an AI coworker to companies that write a lot of software.

As of the 2024 rounds, the product was still not for sale.

Tropic

David Campbell spent years in SaaS sales and noticed something absurd: companies buying software almost never negotiated. They'd receive a quote, maybe push back slightly, and sign.

Meanwhile, the vendor knew exactly what discount they could offer because they had data from thousands of deals. The information asymmetry was massive — and it always favored the seller.

Campbell founded Tropic in 2020 to flip that asymmetry. The core insight was that if you aggregate pricing data from thousands of SaaS contracts across hundreds of companies, you can tell any buyer exactly what fair market price looks like.

Basically, "Company X is charging you $50 per user for this tier, but companies your size typically pay $32." That data-driven approach turns every negotiation from guesswork into science.

The timing was perfect. Post-COVID, companies were drowning in SaaS subscriptions.

The average mid-market company uses 100-200 software tools. CFOs started demanding visibility into software spend, and finance teams had no tools to manage it.

Tropic stepped into that gap with a platform that combined procurement automation with AI-powered negotiation intelligence.

Magic AI

Eric Steinberger and Sebastian De Ro started Magic in 2022. Steinberger is an AI researcher who became convinced that the missing piece for a true AI software engineer was memory.

Chatbots forget what you told them a few thousand words ago. He wanted a model that could read your entire code base and remember all of it.

They raised a small seed in 2022, then a $23 million Series A in early 2023 led by Alphabet's growth fund CapitalG. From day one the pitch was not a chatbot.

It was an AI colleague that could handle real engineering work.

Tropic

Tropic grew by selling to CFOs with a message they couldn't resist: "we will literally save you more money than we cost." In a market where every other tool adds to the tech stack cost, Tropic reduces it. That positioning is powerful during economic downturns when CFOs are cutting budgets.

Customer success stories spread quickly. When a finance leader saves $500K on software renewals using Tropic, they tell other finance leaders.

The procurement community is tight-knit, and word travels fast at CFO conferences and finance Slack communities.

The managed services component creates stickiness. Tropic doesn't just provide data — their negotiators handle the actual vendor conversations.

This "done for you" model means customers don't need internal procurement expertise. Once Tropic handles your renewals, bringing the function in-house again feels like a downgrade.

Magic AI

Magic's strategy is research first, product later, which is both unusual and expensive. Instead of shipping an app and iterating in public, they raised huge sums to chase a technical breakthrough in model memory.

The headline move was the 100 million token context claim, which got the whole AI world talking. They also cut a deal with Google Cloud in 2024 to build two supercomputers, called Magic-G4 and Magic-G5, using NVIDIA chips, to train bigger models.

Star backers like Eric Schmidt served as validation. The bet is that if the tech is far enough ahead, the product and the customers follow.

Tropic

The procurement software market is getting crowded. Vendr, Zylo, Productiv, and Sastrify all target SaaS spend management from different angles.

Differentiation is challenging when every vendor claims to save customers money on software purchases.

Scaling the negotiation services team is operationally complex. Unlike pure software companies that scale with zero marginal cost, Tropic's managed negotiation service requires trained humans.

Each new customer needs real people conducting real vendor negotiations. Balancing human-led services with AI automation is an ongoing challenge.

Vendor pushback is real. As procurement platforms become more common, SaaS vendors are adjusting their pricing strategies to account for aggressive negotiation.

Some vendors have started offering "non-negotiable" pricing tiers or adjusting discount structures. The more successful Tropic becomes, the more vendors adapt their tactics.

Magic AI

Magic has raised close to half a billion dollars and, years in, still has no product the public can buy. That is the whole problem in one sentence.

A giant context window is a great demo, but rivals like Cursor, GitHub Copilot, and Cognition's Devin already have real users and revenue. Magic has to prove that more memory actually makes a smarter engineer, not just a bigger number on a slide.

And it has to do that while burning enormous sums on compute against competitors who are already shipping. The clock and the cash both keep running.

Tropic

Tropic Procurement Platform — the core system for managing the entire software purchasing lifecycle from request through approval, negotiation, and renewal. Tropic Intelligence — AI-powered pricing benchmarks from thousands of real SaaS contracts, showing customers exactly what fair market price looks like for any software vendor.

Tropic Negotiation Services — a team of professional negotiators who handle vendor negotiations on behalf of customers, armed with Tropic's pricing data. Tropic Spend Management — dashboards and analytics showing total software spend, upcoming renewals, redundant tools, and savings opportunities.

Tropic Intake — automated request workflows that route software purchase requests through the right approval chains.

Magic AI

The centerpiece is Magic's LTM, or Long-Term Memory, model family. In 2024 they unveiled LTM-2-mini, a model with a 100 million token context window, pitched as the key to an AI that can understand an entire code base at once.

The broader product is an AI software engineer, or coworker, that can write and change code across a whole project. The company also announced Magic-G4 and Magic-G5, two supercomputers built with Google Cloud and NVIDIA to train these models.

Much of it is still research rather than a shipping product.

Tropic

Insight Partners led the Series B. Canapi Ventures was an early investor.

8VC and other venture firms participated in growth rounds. The company has raised approximately $105 million total across multiple rounds.

Magic AI

Magic's backers are a murderers' row of AI insiders. It started with a $5 million seed round in 2022 and a $23 million Series A in early 2023 led by Alphabet's CapitalG.

Then in February 2024 came a $117 million round led by Nat Friedman and Daniel Gross, two of the most connected investors in AI. The blowout was August 2024.

Magic raised $320 million with checks from former Google CEO Eric Schmidt, CapitalG again, Atlassian, Jane Street, Sequoia, and Elad Gil. That pushed total funding to around $465 million, all for a company still building toward its first sellable product.