Services
Commissioned work conducted by the operator team — peer-review-grade papers, patent research, custom model training, 3D scanning & printing, and (soon) membership-tier inference. Pick the offering, we scope and quote per engagement.
offerings
- Submit the scopeYour question or draft, the data, your target venue / arXiv category, and timeline.
- Feasibility + quote within 48 hoursOur read on novelty and verifiability, the proof targets, deliverable scope, fixed-price quote.
- Investigation + formal verificationLiterature sweep + claim extraction + machine-checked formal verification of the mathematical content. Figures generated from reproducible source.
- Paper delivery + arXiv submissionCompile-clean LaTeX + figures + supplementary + proof artifacts. Submitted to arXiv under your authorship. 60-minute debrief call included.
- Invention disclosureYour concept, sketches or CAD, prior work you've already found, the markets you care about.
- Prior-art searchPatent databases (USPTO, EPO, WIPO, etc.) + scientific literature swept comprehensively, with technical claims verified by domain specialists.
- Novelty + non-obviousness + FTO assessmentMemo identifying what's actually patentable, the strongest claim shape, and where freedom-to-operate risks lie.
- Claim drafts + attorney handoff packageDraft independent + dependent claims, supporting figures, all prior art referenced — formatted to drop into your patent attorney's filing workflow.
- Dataset + objectiveYour data (with appropriate access controls), the task, base-model preference, evaluation criteria, and any compute/latency budget for the deployed model.
- Recipe + quote within 48 hoursRecommended approach (LoRA / full fine-tune / continued pre-training / RL post-training), cluster-time estimate, deliverable shape, fixed-price quote.
- Training run on our clusterLive progress + intermediate-checkpoint evals shared so you can steer. Reproducibility artifacts captured for every step.
- Weights + config + eval reportHF-format weights, training config, eval report against your criteria, plus optional hosted-inference handoff (paid-inference tier).
- Ship the object — or send reference imageryPhysical object shipped to us for scanning, or you send photo sets / existing CAD / STL / mesh for reconstruction and printability review.
- Scan or reconstructPhotogrammetry + structured-light capture for physical objects; multi-view deep-learning reconstruction (point cloud → mesh → splat) for imagery-only input.
- CAD review + material/printer routingModel cleanup, watertight-mesh check, slicing. Routed to the right printer: Modix large-format FDM (4 ft × 2 ft × 2 ft) for oversized parts, Bambu Lab multicolor FDM for multi-material fine-detail, or MSLA resin for high-resolution functional / dental / jewelry / miniatures-grade output.
- Print + post-process + return shipmentPrinted part(s) cleaned + post-cured (resin) or finished (FDM) and shipped back along with all digital assets — STL, CAD, splats, source photos. Customer keeps the digital provenance.
- Initial call30-minute scoping call to understand the question, your current architecture, and what a useful answer would unblock. Free.
- Engagement shape + quoteOne-shot review (1–5 days), focused project (1–4 weeks), or production-incident retainer (ongoing). Fixed-price for the first two, monthly for retainers.
- Hands-on workFor reviews: topology diagrams + code inspection + written findings. For projects: design + prototype + handoff documentation. For retainers: on-call response within an agreed SLA + monthly written summary.
- Deliverable + walkthroughWritten report (always), reproducible config or code (when applicable), 60-minute walkthrough call. Optional follow-up Q&A window.
Led by a senior operator with 20 years in fintech software engineering — currently a lead engineer on a data-center infrastructure team, with significant voice on team architecture and engineering practice. Designed and runs the on-prem AI cluster documented on the blog (14 NVIDIA GPUs across consumer Blackwell + RTX 5090 + GB10 + Apple Silicon, ~75 TB tiered storage, 100GbE backbone, mTLS service mesh).
Degrees: BS Cloud Computing & BS Software Engineering (Western Governors University).
Active certifications: AWS Certified AI Practitioner, AWS Certified Cloud Practitioner, CompTIA Security+, LPI Linux Essentials, CompTIA Project+, ITIL Foundation, Oracle Database 12c Administrator, CIW User Interface Designer.
Leadership / executive development: Harvard Online Certificate in Leadership Excellence.
Previously held (lapsed by renewal cycle, not by competence): AWS SysOps Administrator – Associate, EC-Council Certified Encryption Specialist, Cisco CCNA, CompTIA Network+, CompTIA A+.
Adjacent depth: Ethereum smart-contract development (ERC721 / ERC1155 / ERC20 with Truffle, Ganache, and Manticore / Echidna / Slither auditing), serverless AWS architecture (Lambda, API Gateway, DynamoDB, SQS, Bedrock), enterprise network engineering (pfSense, hardware security appliances, 25 GbE fiber), and on-prem AI cluster design.
Membership-tier access to the same private cluster that powers our research deliverables — frontier capability, domain specialists across chemistry / materials / biology / medical, and on-prem privacy. Details + pricing shortly.
In the meantime: checkout for any of the other offerings runs on perfct.ai.
topic coverage
Every offering above can be scoped to any of these domains:
Chemistry & molecular
SMILES + IUPAC claim verification, reaction prediction, computational-chemistry method critique (DFT, MD, ab initio), stoichiometric and formula-level cross-checking against published literature.
Materials & crystallography
Lattice constants, space-group analysis, unit-cell geometry, X-ray diffraction interpretation, CIF parsing, materials-property prediction and verification against the published structural record.
Physics
Condensed-matter, statistical mechanics, computational physics — DFT / MD / Monte Carlo method critique, simulation-result review, dimensional analysis, cross-checking measured-vs-modeled values against the published record.
Biology, genetics & proteins
Protein-sequence + structural analysis (folds, helices, beta-sheets, quaternary topology), gene-level expression and variant studies, peptide / fusion-construct verification.
Medical literature review
Claim-level verification across clinical and translational literature, cross-source agreement checks, mechanism-of-action validation. Not clinical advice — investigator-grade source synthesis for systematic-review and meta-analysis support.
Finance × science crossover
Biotech and pharma due-diligence, drug-pipeline review, materials-finance, energy-transition technical risk. Same scientific-verification depth, layered onto financial peer review.
Bespoke deep dives
Your domain is probably also weird enough to investigate. If your question doesn't fit the categories above, ask — odds are we'll find it interesting too.
how we work, in general
Every engagement is operator-led. Whatever the methodology, the final work is reviewed and signed off by someone who knows the cluster, the upstream codebases, and the literature firsthand. Deliverables are reproducible — source, configs, raw artifacts — not transcripts, not walls of intermediate traces.
No public sample deliverables yet — engagements stay private by default. For the depth and voice we bring to technical work, see the operator blog. Those posts aren't paid-services output; they're the same operators writing about the same cluster on their own time.
Ready to commission an investigation
Checkout, account setup, and engagement intake all happen on perfct.ai — our billing surface.
Start a research engagement No prepayment until scope + quote are agreed.