An AI-augmented retrosynthesis engine proposes routes; a PhD chemist verifies, scales and costs every one; our own wet lab makes the molecule — hit identification to multi-gram manufacturing, with no handoff friction. Automation makes us fast; expertise makes us right.
Our integrated workflow ensures knowledge continuity across every stage of your program.
Raw AI retrosynthesis is not a decision. The engine proposes, our knowledge base grounds it, a PhD chemist verifies — and you get a cited, costed, scale-matched report you can fund, run and stand behind.
Curated retrosynthesis search proposes candidate routes for any target, known or novel.
Industrial templates, an FDA drug-synthesis corpus and textbook retrieval anchor the chemistry.
A PhD chemist corrects, scale-matches and costs every route before release.
A cited, hazard-aware, scale-matched deliverable — the platform scales our throughput, never replaces expert judgment.
A curated retrosynthesis engine (Neural MCTS on the USPTO corpus + curated industrial templates), an FDA drug-synthesis corpus (2002–2022), and vector-searchable, citable textbook retrieval — compiled into the production model.
Every deliverable passes a structured review gate; citations are checked against Crossref / PubMed / USPTO and CAS confirmed on PubChem. Client structures are NDA-backed and never used to train models.
Traditional multi-vendor approaches fragment knowledge and create costly delays. Astinova's integrated model is different.
Eliminate vendor search, qualification, and knowledge transfer delays. Our teams share context continuously across all phases.
Discovery insights about reactive intermediates, selectivity challenges, and process quirks inform development and manufacturing strategies.
One partner relationship, consolidated project management, and reduced rework from miscommunication means better economics for your program.
One dedicated project team manages your program end-to-end. No more juggling multiple vendors or reconciling conflicting advice.
Engage us at any stage — early discovery, mid-program scale-up, or late-stage manufacturing. Our platform adapts to your needs.
Analytical methods developed in discovery flow seamlessly into development specifications and manufacturing release criteria.
Our platform pairs a proprietary AI stack with a broad foundation of synthetic and analytical technologies.
Neural MCTS search on the full USPTO corpus, tuned with curated industrial templates and an FDA drug-synthesis corpus (2002–2022)
Vector-searchable, citable textbook retrieval; PhD oversight plus a structured 6-point review gate before release
Multi-step synthesis, asymmetric catalysis, transition metal chemistry, organocatalysis, flow chemistry capabilities
HPLC, LC-MS, NMR (1H, 13C, 2D), chiral HPLC, GC-MS, IR, HRMS for full structural confirmation
Preparative HPLC, chiral preparative HPLC, flash chromatography, recrystallization, extraction optimization
DoE-driven optimization, solvent screening, temperature studies, reaction monitoring, safety assessment
Small-molecule NCE & generic-API route design, PROTACs, ADC components, macrocycle synthesis platforms
Detailed experimental reports, process development reports, analytical certificates, regulatory-ready CMC packages
Whether you need discovery support, scale-up help, or end-to-end partnership, Astinova is ready.