DeFi Infrastructure Engineering

We Build the Hardest
Systems in Solana DeFi

A team of 5 engineers with 15 years of combined Solana development experience. We design and build high-performance, mathematically rigorous DeFi infrastructure — from on-chain programs to real-time data pipelines to novel algorithm design.

🎓
Math PhD Leadership
Rigorous by design
15 Years on Solana
Combined team experience
100% Rust
Systems-level performance
👥
Team of 5
Small, focused, senior
Who We Are

A Small Team That Punches Way Above Its Weight

Five senior engineers. No juniors, no managers, no overhead. Every person on the team ships production code.

Mathematical Foundations

Our technical lead holds a PhD in Mathematics. This isn't incidental — it's central to how we work. We derive closed-form solutions where others simulate. We prove correctness where others test-and-hope. When a problem can be solved analytically, we solve it analytically.

Deep Solana Expertise

15 years of combined experience building on Solana. We understand the account model, the runtime constraints, the fee structures, and the edge cases that only surface in production. We've written custom Solana programs, Geyser plugins, and full-stack DeFi systems from scratch.

What We Bring Together

🔢
Applied Mathematics
Novel algorithm design, analytical optimization, formal verification of financial math
Systems Programming
Rust, low-latency architectures, zero-copy IPC, concurrent data structures
🔗
On-Chain Development
Solana programs (native & Anchor), CPI composition, compute optimization
📈
DeFi Protocol Internals
Deep understanding of AMM mechanics across every major Solana DEX
📊
Real-Time Infrastructure
Geyser plugins, gRPC pipelines, RPC node optimization, event-driven architectures
Capabilities

What We Can Build

End-to-end DeFi infrastructure — from the validator to the user.

🔒

Custom Solana Programs

Purpose-built on-chain programs optimized for minimal compute. Atomic multi-step transactions, cross-program invocation, on-chain verification logic. Native Rust and Anchor.

📈

Quoting & Pricing Engines

Analytical pricing models derived from first principles. Real-time pricing across hundreds of thousands of pools. No third-party SDK dependencies, no black boxes.

📊

Real-Time Data Pipelines

Custom Geyser plugin development, zero-copy shared memory IPC, event-driven processing. Sub-millisecond data delivery from validator to application layer.

🔍

Trading Infrastructure

Market making systems, execution engines, multi-venue routing, MEV strategies. Full-stack trading systems with latency-sensitive architectures and Jito bundle integration.

🎛

RPC & Node Infrastructure

RPC node optimization, custom Geyser plugin pipelines, validator-level data access. We understand the full stack from the validator runtime to the application layer.

🛠

Algorithm Design

Novel algorithms grounded in mathematics. Graph-based search, optimization under constraints, incremental computation, and piecewise analytical approximation techniques.

Philosophy

How We Approach Hard Problems

The typical approach

  • Wrap third-party SDKs and hope they're correct
  • Simulate everything — slow, expensive, opaque
  • Test in staging and pray it works in production
  • Patch bugs when users report lost funds
  • Accept latency as a given

Our approach

  • Derive from first principles. We read the protocol source, extract the math, and implement it ourselves. No black-box dependencies.
  • Solve analytically. If a closed-form solution exists, we find it. Orders of magnitude faster than brute-force simulation.
  • Verify continuously. Cross-validation runs in production, not just in tests. Systems self-heal when drift is detected.
  • Design for correctness. On-chain contracts verify invariants atomically. Off-chain systems track divergence and auto-evict bad data.
  • Measure everything. Nanosecond-level benchmarks, structured tracing, OpenTelemetry metrics. You can't optimize what you don't measure.
Case Study

What This Looks Like in Practice

We built a complete, production-grade DeFi trading system from scratch — including what is essentially our own aggregator: real-time pricing across every major venue, optimal route discovery, and on-chain execution. Every layer designed and implemented by our team.

Validator
Geyser Subscription
IPC Layer
Zero-Copy Shared Memory
Data Processing
Batch & Validate
Quoting Engine
Analytical Curves
Strategy Layer
Multi-Path Search
Execution
Custom On-Chain Program

Data Layer

Custom Geyser implementation captures account updates directly at the validator. Zero-copy shared memory IPC delivers data with no serialization overhead. Transaction-level batching ensures consistency across pool state.

Novel Quoting Algorithm

The core innovation: a mathematically exact quoting engine that prices hundreds of thousands of pools in real time — the equivalent of building our own aggregator from first principles. Instead of simulating each pool on a VM fork, we derived the analytical swap formulas and evaluate them in nanoseconds. Incremental updates mean the pricing surface stays current as on-chain state changes.

Route Discovery & Execution

Graph-based multi-hop route discovery across every major venue, combining reactive and structural search strategies. A custom Solana program handles atomic on-chain execution with built-in safety guarantees. Jito bundle integration for optimized submission.

Case Study

The Numbers Behind It

Real benchmarks from our production system.

11ns
Curve Evaluation
Per-pool analytical math
<5ms
End-to-End Latency
Data to execution, steady state
100x
Faster Than Simulation
Analytical math vs. SVM fork

What We Replaced

The standard approach in DeFi is to fork a local copy of the Solana VM and simulate every quote. This costs 5–50ms per pool — fine for a handful of pools, unusable at the scale of hundreds of thousands.

What We Built Instead

We derived exact mathematical formulas for each AMM type and evaluate them analytically. The result is orders of magnitude faster, uses a fraction of the memory, and is continuously verified against simulation in production to guarantee correctness.

// Our analytical approach (benchmarked)

Per-pool curve evaluation ..... 11–22 ns Full pricing query ............ ~1 μs Incremental update ............ sub-ms typical

// vs. SVM simulation Simulated quote per pool ...... 5–50 ms

// Scale Pools priced in real-time ...... 100,000s DEX venues supported .......... All major Solana New pools added ............... Dynamically, zero downtime
Protocol Expertise

Deep Across the Solana DeFi Stack

We've implemented exact swap math for every major DEX on Solana — not wrappers, not SDKs, but hand-derived formulas from the protocol source code.

What We Mean by "Exact Math"

Most teams integrate a DEX by calling its SDK or simulating on a local VM fork. We take a different approach: we read the on-chain program source, extract the mathematical specification of the swap function, and implement it ourselves in pure Rust.

This gives us nanosecond evaluation instead of millisecond simulation, full transparency into edge cases and rounding behavior, and zero dependency on external SDK maintainers.

Why This Matters for You

When you need a new DEX integration, a custom pricing engine, or on-chain logic that interacts with existing protocols, we're not starting from zero. We've already gone deep on the math and mechanics of every major AMM model on Solana.

Solana Infrastructure Expertise

🔒
Custom Solana Programs
Deployed production contracts with atomic multi-step execution and on-chain safety verification
📊
Geyser Plugin Development
Currently building a custom plugin with zero-copy IPC; experienced with Yellowstone gRPC integration
RPC Node Optimization
Tuning validator and RPC infrastructure for latency-critical applications
🚀
Jito & MEV Integration
Bundle submission, priority fee optimization, confirmation tracking
📈
Multi-Venue Routing
Graph-based search across all major Solana DEXs, multi-hop path discovery
Technology

Our Stack

Production-tested tools chosen for performance, correctness, and reliability.

Languages & Core

Rust (Edition 2024)
Solana SDK 3.0
Tokio Async Runtime
Pinocchio / Anchor

Data & IPC

Geyser Plugins
Iceoryx2 (Zero-Copy)
rkyv Serialization
ClickHouse

Infrastructure

Jito Bundle Submission
OpenTelemetry
gRPC / Tonic
Criterion Benchmarks

Built from Scratch

We don't glue libraries together. Our production system is a 9-crate Rust workspace with 570+ source files and a deployed Solana program. Every critical path is code we wrote, tested, and benchmarked ourselves.

9
Workspace crates
570+
Rust source files
100,000s
Pools priced in real-time
0
Third-party DEX SDK dependencies
Engagement

How We Work With You

🔒

Protocol & Smart Contract Development

  • Custom Solana program design & implementation
  • DEX / AMM protocol development
  • Cross-program composition
  • Compute-optimized on-chain logic
  • Security-focused architecture
📈

Trading & Execution Infrastructure

  • Market making systems
  • Execution & routing engines
  • Custom quoting / pricing systems
  • Multi-venue integration
  • Jito / MEV infrastructure
📊

Data & Infrastructure Engineering

  • Custom Geyser plugin development
  • Real-time data pipelines
  • RPC node optimization
  • Low-latency system architecture
  • Observability & monitoring

What You Get

Production-grade code
Benchmarked, tested, verified. Not prototypes — systems that run.
Mathematical rigor
Correctness proofs, not test-and-hope. Formal derivations where they matter.
Deep Solana knowledge
We know the edge cases because we've hit them. 15 years of combined experience.
Let's Talk

We Build What
Others Can't

Five engineers. PhD-led. 15 years on Solana. We've already built one of the most technically sophisticated DeFi systems on the network. Now we'd like to build yours.

Email
dave@fastcarslowcar.com
Telegram
@davereiss
Twitter / X
@davethereiss