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The decisions that shape a synthesis program belong on day one.

Is this molecule synthesizable? Is it patentable? Can we secure the supply chain to make it? SynovAI answers all three the moment you sit down with the structure, instead of months into the program when changing course is expensive.

These are three case studies from chemists using the platform on real targets.

Prospective study · GLP-1

A GLP-1 route in under a week.

orforglipron

A SynovAI team ran a prospective retrosynthesis on orforglipron, a major oral GLP-1 receptor agonist, asking whether the published route could be shortened without losing yield.

Within a week the platform surfaced a synthesis that improved on the published pathway. A month later, the company holding the asset disclosed an updated route working through the same disconnections. They had been on the program for roughly two years.

End-to-end · synthesis and characterization

Two graduate students. Two weeks. Bench-confirmed.

A target previously planned by a 20-person team over two years

Two graduate students used the platform to plan, run, and characterize an improved synthesis for a target that an earlier 20-person team had spent two years on.

The full loop, from entering the molecule to confirming the product in the lab, took two weeks. The platform did the planning; the students did the bench work.

Retrospective study · tertiary amine

A two-week search compressed to ten minutes.

Reproduced the literature route and surfaced two new ones

A chemist had spent two weeks searching for a synthetic route to a tertiary amine using the standard discovery tools in the industry. They found one viable pathway.

Running the same target through SynovAI took ten minutes. The platform returned the same route they had found, plus two additional routes the existing tooling had missed. One of the new routes used cheaper, more accessible reactants.

White paper series

The longer write-up, for the people who want it.

Each case study has a deeper, publishable-depth companion paper. Molecules, citations, heuristics, and honest limitations. Written for chemists and counsel who need to make decisions against real data.

Browse the white paper series
  • Process chemistry and scale-up
  • IP counsel and freedom-to-operate
  • Medicinal chemistry and route scouting
  • Green chemistry and pollution prevention
  • Computational chemistry and virtual hit validation

Bring your hardest target.

Try the platform on a molecule you actually care about, or set up a conversation with the team about what your group is working through.