Advancing frontier intelligence for science, software, and enterprise.
Alchemax Labs is an artificial intelligence research and deployment organisation. We develop general-purpose foundation models, verifiable deep-reasoning systems, and sovereign infrastructure engineered for high-reliability execution.
Verified Frontier Benchmarks
Standardised pass@1 evaluations across autonomous software engineering, competition mathematics, and graduate-level scientific reasoning.
Built for Deep Reasoning, Synthesis & Execution
Inspect how Alchemax-o3 Pro and Alchemax-5 decompose multi-step technical problems before emitting verified outputs.
"Identify the memory ordering race condition in our lock-free ring buffer under weak memory models (ARM64), construct a formal litmus test, and patch the Rust implementation without introducing mutex contention."
1. Scanning
crates/runtime/src/ring_buffer.rs lines 114–189.2. Detected
Ordering::Relaxed load on tail_idx prior to buffer slot write; on ARMv8 this permits speculative store reordering.3. Running internal Loom model-checker simulation: reproduced ABA hazard after 1,420avings.
4. Promoting consumer load to
Ordering::Acquire and producer commit to Ordering::Release. All 4,096 Loom permutations pass.
// Verified Patch generated by Alchemax-o3 Pro
pub fn push(&self, item: T) -> Result<(), T> {
let head = self.head.load(Ordering::Relaxed);
let tail = self.tail.load(Ordering::Acquire); // Fixed: prevents ARM64 store reordering
if head.wrapping_sub(tail) >= self.capacity {
return Err(item);
}
unsafe {
self.buffer[head & self.mask].get().write(MaybeUninit::new(item));
}
// Pairs with consumer Ordering::Acquire to guarantee slot visibility
self.head.store(head.wrapping_add(1), Ordering::Release);
Ok(())
}"Evaluate the thermodynamic stability and binding free energy delta of candidate ligand series ALX-409 against the allosteric pocket, accounting for explicit solvent entropy."
1. Encoding 3D crystallographic coordinates (PDB) + 140-page assay dataset in 2M context.
2. Computing Free Energy Perturbation (FEP) cycle across 12 substituent variants.
3. Identifying displaced high-energy water triad in sub-pocket B; fluoromethyl substitution yields -3.8 kcal/mol favourable enthalpy gain.
Candidate Series Ranking (Verified ΔΔG_bind):
─────────────────────────────────────────────────────────────
1. ALX-409-F3 (Trifluoromethyl) ΔG = -11.4 kcal/mol [Kd: 4.2 nM]
2. ALX-409-Cl (Chloro-aryl) ΔG = -9.8 kcal/mol [Kd: 61.0 nM]
3. ALX-409-H (Baseline Scaffold) ΔG = -7.6 kcal/mol [Kd: 2.6 μM]
Selectivity Index vs Off-Target Kinase Panel: >450x
Recommended Synthesis Route: 3-step Buchwald-Hartwig coupling (Yield est. 84%)"Cross-examine all 1,840 supplier contracts in the Q3 acquisition dataroom against our updated UK GDPR and DORA resilience clauses, flag non-compliant indemnities, and draft redline addenda."
1. Ingested 1,840 PDFs & DOCX agreements into single 2M context window.
2. Identified 27 contracts missing 24-hour incident notification SLAs under DORA Art. 19.
3. Generated clause-by-clause redlines with exact page/paragraph citations and exported audit bundle.
{
"audit_id": "ALX-AUDIT-2026-8841",
"documents_analyzed": 1840,
"total_tokens": 1624910,
"compliant_contracts": 1813,
"remediation_required": 27,
"critical_findings": [
{
"vendor": "Meridian Cloud Services Ltd",
"clause_ref": "Section 14.2 (Page 31)",
"issue": "Sub-processor notification window is 30 days (Policy requires <=72h)",
"redline_status": "Addendum Drafted & Ready for Counsel Approval"
}
]
}How Alchemax Compares to the Industry
Standardised zero-shot and pass@1 evaluations across reasoning, software engineering, mathematics, and long-context recall.
| Benchmark / Capability | Alchemax-o3 Pro | Alchemax-5 | OpenAI o1 / GPT-4.5 | Claude 3.7 Sonnet |
|---|---|---|---|---|
| SWE-bench Verified Autonomous real-world GitHub issue resolution | 89.2% | 81.6% | 71.7% | 70.3% |
| GPQA Diamond PhD-level physics, chemistry & molecular biology | 88.4% | 84.1% | 78.0% | 75.2% |
| AIME 2026 National Olympiad qualifier competition mathematics | 96.7% | 88.0% | 83.3% | 74.0% |
| MMLU-Pro 10-choice graduate reasoning across 14 disciplines | 96.8% | 96.4% | 90.8% | 89.5% |
| Native Context Window & Recall Multi-needle retrieval @ full context length | 1M Tokens (99.6%) | 2M Tokens (99.8%) | 128K–200K Tokens | 200K Tokens |
Flagship Models & Platforms
From raw foundation model APIs to turnkey autonomous workspaces and sovereign compute clusters.
Alchemax-5 Frontier
Our most capable general-purpose foundation model. Native 2-million-token context window, real-time multimodal perception across text, code, vision, and audio, and industry-leading reliability.
Alchemax-o3 Pro Reasoning
Engineered for the hardest problems in mathematics, autonomous software engineering, formal verification, and scientific discovery through tree-search test-time reasoning.
Atlas AI Workspace
Our flagship conversational and deep-research interface powered by Alchemax frontier models. Built for individuals, engineering teams, and global enterprises.
Aegis Autonomous Agents
Sandboxed, multi-step autonomous agents capable of operating web browsers, terminals, enterprise ERPs, and CI/CD pipelines with human-in-the-loop governance.
Recent Papers & System Cards
Peer-reviewed publications, architectural breakthroughs, and safety evaluations from our research groups.
Scaling Verifiable Test-Time Compute in Alchemax-o3 Pro
How combining reinforcement learning with formal verification sandboxes enables monotonic capability scaling across mathematics, competitive programming, and systems engineering.
Alchemax-5 System Card & Frontier Safety Evaluation
Comprehensive evaluation of Alchemax-5 across cybersecurity, biological safety, autonomous replication, and adversarial robustness prior to general availability.
Exact Retrieval Across 2 Million Tokens with Ring-Sparse Attention
Eliminating context rot in ultra-long sequences through hardware-aware ring-sparse attention and exact key-value compression.
Latest News & Announcements
Updates on model releases, sovereign data centre expansions, and enterprise partnerships.
Introducing Alchemax-5 and Alchemax-o3 Pro: Intelligence Beyond the Frontier
Our newest frontier model family is now live across the Alchemax API, Atlas AI Workspace, and Vanguard Sovereign Cloud.
Alchemax Labs Expands UK & European Sovereign Compute Capacity
Bringing online 16,000 next-generation accelerators powered by 100% renewable energy for zero-retention enterprise and public-sector workloads.
How Enterprise Engineering Teams Use Aegis to Modernise Legacy Codebases
Inside our deployment with leading financial and logistics institutions—automating test coverage, dependency migrations, and security patching.
Ready to build with Alchemax Labs?
Speak with our engineering and enterprise teams about API access, custom fine-tuning, or dedicated sovereign clusters.