Investor brief

Cloud costs are out of control.
redfly cuts the biggest line item by 70%.

The database is the most expensive thing in any software stack. redfly serves its reads from memory instead; 4,000× faster, ~70% cheaper, cloud or onsite.

01 · Why now

The lift-and-shift hangover

29%of cloud spend is wasted; rising for the first time in five yearsFlexera 2026 State of the Cloud
#1Databases: the largest, fastest-growing slice of cloud spendingIDC, via the FinOps Foundation
15%of one company's entire budget: cloud costs after lift-and-shiftDirect customer conversation, 2026
  • The lift-and-shift wave is over; the bills have arrived.
  • The prescribed fix, going cloud-native, costs years and welds you to one vendor.
  • FinOps tooling watches the bill; it cannot change the architecture behind it.
  • Nobody sells the third option: cut the cost of what you already run. redfly does.

02 · The problem

The database is the cost center

  • Almost everything runs on a disk-based database; the costliest thing in the stack to scale.
  • Scaling means bigger boxes: costs climb in steps, performance in inches.
  • DIY caching is a permanent tax: invalidation bugs and specialist headcount.
  • The cloud meters this pain hourly. Onsite it shows up as hardware, licenses, DBAs.
Your database bill

Illustrative: the same workload at a ~70% database-cost reduction.

Every company hand-rolls the same database-scaling code, badly, at enormous cost.

03 · The product

Same database, same code.
A fraction of the cost.

Your appunchangedredflyservice layerRedis cacheserves the readsYour databasesource of truthreads · ~1 mswrites · bothsync
  • A thin service layer: reads served from Redis, writes to database and cache.
  • The Sync Service keeps cache and database in lock-step; apps can work directly against cache.
  • One API replaces the data-access plumbing teams write by hand.
  • Cache down? Reads fall back to the database automatically.
4,000×Faster reads vs hand-written code
70%Lower database cost
0Rewrites, migrations, lock-ins

04 · Live proof

Don't take our word for it.
Open braindump.redfly.ai.

  • Live on the Apple, Google, Microsoft, and Amazon app stores.
  • Runs redfly in production against SQL Server and MongoDB at once.
  • Most reads never touch the database; the infrastructure footprint is tiny.
  • The demo on GitHub is open source; production source code can be made available to customers under a licensing agreement.
We do not ask anyone to take the numbers on faith. Open braindump.redfly.ai and feel it.

05 · The market

Every database is a prospect

70–80%of software runs on a relational databaseIndustry consensus estimate
$2–4Mto hand-build equivalent caching: 15 engineers, 1–2 yearsredfly customer discovery
$100B+wasted cloud spend industry-wide, per yearFlexera waste rate × public-cloud market size
  • Every company with a database bill is a prospect.
  • Cost cutting is the rare budget line that grows in downturns.
  • redfly replaces a category of spend: caching layers, replicas, bigger boxes, DBA hours.

06 · Unfair advantages

Twenty years of R&D, attached in an afternoon

20+ years of R&D

Built on real projects for Citigroup, Walmart, Prudential, MetLife, and State Street.

Near-zero switching cost

Attaches to what you already run. The hardest thing for competitors to copy.

General-purpose, like a compiler

Works from any supported schema. Rebuilding that generality is a research program.

Owned by no cloud

Cloud, onsite, or hybrid. Hyperscalers can't match it without cutting their own database revenue.

Cost compounding

The bigger the customer's database bill, the bigger our value.

Proof you can touch

Our own consumer product runs on it in production, in public.

Why the alternatives don't get there:

Debezium / Kafka

A distributed-systems project you staff, not a product you switch on.

Hazelcast

Wants to be your new database. That is a migration, with all its cost and risk.

Readyset

Caches known queries. redfly syncs the data itself; every read benefits.

07 · Contrarian insight

What others miss

Consensus

To fix cloud costs you must go cloud-native: rewrite around one vendor's services and accept the lock-in.

Our view

Shrink the largest cost center first; the database. Go cloud-native after that, if you still need to.

The industry sells a choice between an inflated bill and an expensive rewrite that traps you. redfly is the third option.

08 · Traction

Proven where it counts

10B+Rows synchronized in production
5Signed letters of intent
22Technical Advisory Board members
  • NEC proof of concept: 1,500 tables, 45 GB, synchronized in two weeks.
  • The result beat ten years of hand optimization.
  • Adoption runs through hands-on design partnerships; prospects see redfly on their own database before buying.
  • Braindump, our own consumer product, runs on redfly in production every day.

09 · Why us

Built by the people the Fortune 500 called

  • Data infrastructure proven for Fedex, Walmart, UPS, PepsiCo, Toyota, and Nike.
  • Not a first system: the productization of two decades of enterprise work.
  • Backed by Alchemist Accelerator (Batch 37), the top-ranked enterprise accelerator.
  • $350K in Azure credits; Delaware C-Corp, structured for venture financing.

Vijay Mohan — Founder

  • 20+ years building scalable, mission-critical systems
  • Architected the Azure portal behind 100+ global clients: DHL, Toyota, Nike
  • Helped drive Locus Robotics to unicorn status
  • Ships product: Braindump live on four app stores, running on redfly

10 · The ask

Help us make the database bill optional

RoundSeed

Use of funds

  • Convert signed LOIs into production deployments
  • Postgres coverage to full parity
  • Self-managing, fully automated caching
  • Founding go-to-market hires

12-month milestones

  • First production enterprise deployments
  • A measured cloud-bill case study at a named customer
  • Postgres general availability
  • Design-partner program at capacity

Contact

See it before you believe it.

Try Braindump for two minutes, then let's talk about the numbers underneath it.