
Integrated Reasoning
Custom silicon claiming 7,000x speedup on combinatorial optimization vs. software solvers.
What is Integrated Reasoning?
Integrated Reasoning builds custom silicon for combinatorial optimization, with a flagship microarchitecture called IRX-Honu purpose-built to remove memory and instruction bottlenecks in NP-complete workloads. The company publicly claims a 7,000x speedup over software solvers on the subset sum problem. The hardware targets industrial-scale decision problems where conventional CPUs and GPUs stall.
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Use cases to evaluate
Accelerating route optimization for fleets where a 1% efficiency gain is worth millions
Cracking subset sum and other NP-complete instances faster than software solvers
Solving large mixed-integer programs that time out in Gurobi or CPLEX
Research into cryptographic primitives that reduce to combinatorial search
Fit to evaluate
Quant funds and hedge fund engineering teams building optimization-heavy strategies
Logistics and supply chain optimization platforms at billion-row scale
National lab and defense researchers working on hard combinatorial problems
Operations research teams hitting throughput ceilings on commercial solvers
Business fit
Right for you if combinatorial optimization is a strategic bottleneck in your business, think logistics routing, portfolio construction, cryptography research, or large-scale scheduling, and you're hitting walls on commercial solvers like Gurobi or CPLEX. Engaging makes sense once you've already invested in modeling expertise and need throughput a CPU farm can't deliver. Skip if your optimization problems run in seconds on existing solvers, or you can't underwrite a research-stage hardware partnership. Skip entirely for any non-optimization workload.
How to evaluate Integrated Reasoning
Use this category when software delivery speed, code review, or developer leverage is a business constraint.
Confirm the exact workflow
Map Integrated Reasoning to one concrete workflow first, such as accelerating route optimization for fleets where a 1% efficiency gain is worth millions. Avoid buying before the owner, trigger, output, and success metric are clear.
Check category fit
Test with your actual repository and review diff quality.
Compare practical alternatives
Shortlist Integrated Reasoning against Codex, Claude Code, Cursor so the decision is based on fit, effort, and workflow ownership rather than brand recognition alone.
Validate cost and rollout effort
No public pricing. The contact page lists only the San Francisco address, hello@integrated-reasoning.com, and a newsletter signup; commercial terms are sales-led, consistent with a specialized accelerator vendor. Also confirm implementation time, support needs, and whether the technical setup matches your team.
Compare Integrated Reasoning with alternatives
Use this quick comparison before booking demos or moving data into a new system.
| Primary workflow | Accelerating route optimization for fleets where a 1% efficiency gain is worth millions, Cracking subset sum and other NP-complete instances faster than software solvers |
|---|---|
| Best-fit team | Quant funds and hedge fund engineering teams building optimization-heavy strategies, Logistics and supply chain optimization platforms at billion-row scale |
| Implementation effort | Technical setup and maintenance profile |
| Pricing check | Contact sales |
| Closest alternatives | CodexClaude CodeCursorGitHub Copilot |
Integrated Reasoning pricing
| Model | Contact sales |
|---|---|
| Snapshot | No public pricing. The contact page lists only the San Francisco address, hello@integrated-reasoning.com, and a newsletter signup; commercial terms are sales-led, consistent with a specialized accelerator vendor. |
| Checked |
Common questions about Integrated Reasoning
What is Integrated Reasoning?
Integrated Reasoning builds custom silicon for combinatorial optimization, with a flagship microarchitecture called IRX-Honu purpose-built to remove memory and instruction bottlenecks in NP-complete workloads. The company publicly claims a 7,000x speedup over software solvers on the subset sum problem. The hardware targets industrial-scale decision problems where conventional CPUs and GPUs stall.
What is Integrated Reasoning used for?
Common use cases: Accelerating route optimization for fleets where a 1% efficiency gain is worth millions; Cracking subset sum and other NP-complete instances faster than software solvers; Solving large mixed-integer programs that time out in Gurobi or CPLEX; Research into cryptographic primitives that reduce to combinatorial search.
How much does Integrated Reasoning cost?
No public pricing. The contact page lists only the San Francisco address, hello@integrated-reasoning.com, and a newsletter signup; commercial terms are sales-led, consistent with a specialized accelerator vendor.
Who is Integrated Reasoning best for?
Integrated Reasoning fits Quant funds and hedge fund engineering teams building optimization-heavy strategies, Logistics and supply chain optimization platforms at billion-row scale, National lab and defense researchers working on hard combinatorial problems, Operations research teams hitting throughput ceilings on commercial solvers. Right for you if combinatorial optimization is a strategic bottleneck in your business, think logistics routing, portfolio construction, cryptography research, or large-scale scheduling, and you're hitting walls on commercial solvers like Gurobi or CPLEX. Engaging makes sense once you've already invested in modeling expertise and need throughput a CPU farm can't deliver. Skip if your optimization problems run in seconds on existing solvers, or you can't underwrite a research-stage hardware partnership. Skip entirely for any non-optimization workload.
What are alternatives to Integrated Reasoning?
Common alternatives to Integrated Reasoning include Codex, Claude Code, Cursor, GitHub Copilot, Replit, Windsurf.