For a team that wants the capability in-house and across the pipeline. We customise our formulation platform to your molecules, rules and SOPs, deploy it in your environment, and hand over the source code.
Best when formulation is a capability you intend to own, not a task you outsource.
Built on a foundation we have already developed rather than from scratch, customised to your molecules and your rules, and handed over as source code your team can run without us.
The shared groundwork every agent depends on — how they coordinate, how they retrieve scientific and regulatory evidence, how their outputs are checked, and how the system runs securely end to end. Designed once, so the second package and everything after it can be added without a rebuild. Delivered alongside the first specialist agents and the portal that surfaces them.
The remaining specialists, upgrades to the ones already running, and the rest of the portal — per-agent review, audit and export, report generation, and a gateway for your own internal data. Joint validation against your reference cases, training for your scientists and administrators, and a stabilisation period after acceptance.
Source code, build and deployment artefacts, infrastructure-as-code, the documentation suite, and recorded knowledge-transfer sessions. Enough for your IT team to compile, deploy and reproduce the platform on any major cloud or on premises, without re-implementation and without buying a licence from us. Our role at completion becomes optional.
Even with careful prompting and fixed settings, the same prompt can return meaningfully different outputs across runs. That is acceptable for brainstorming. It is not acceptable for a buffer recommendation or a formulation recipe.
Expectations for electronic records, computerised systems and AI-supported decisions require controls a hosted chat tool does not provide by default. These determine whether an output can be trusted, reviewed, repeated and defended.
Compliance is a property of the system, its deployment and your own validation programme — not a badge a vendor can hand over. A platform you own and can audit is what makes that programme possible.
Speed, cost, and the quality of the knowledge your programme carries forward.
Weeks rather than quarters.
A defensible, ranked formulation strategy is available in weeks rather than quarters, which pulls in the timing of tox lots, stability starts, first-in-human enabling material, and eventually CMC sections of regulatory filings.
A prioritized set, not a broad matrix.
Screening effort is concentrated on a prioritized set of conditions instead of a broad, unguided matrix. This reduces FTE time, analytical load, and the quantity of purified drug substance consumed — usually the scarcest and most expensive input at early stage.
One coherent dataset, not scattered reports.
The partner receives a single, structured, statistically coherent dataset with confidence for every candidate, rather than a series of disconnected screening reports. The design space is defined deliberately, which strengthens later comparability, scale-up and lifecycle changes.
The design space is explored computationally first. The bench is used to confirm.
A primary sequence and a set of product targets — concentration, presentation, device, and the constraints the program already carries. Nothing more is required to start.
The design space — buffer and pH, sugars and polyols, amino acid excipients, ionic strength, surfactant, chelators and antioxidants — is explored computationally rather than sampled sparsely at the bench.
A rank-ordered, fully specified set of formulation candidates, with confidence attached to each, delivered as one structured and statistically coherent dataset.
Bench-level standard operating procedures for making each candidate, so the laboratory runs a focused confirmatory exercise instead of an open-ended search.
Foundation models are remarkable, and they will assemble a working prototype from a plain-language brief in minutes. The distance between that prototype and a system a regulated scientific decision can rest on is the whole of the work.
Engagements begin with a conversation and a signed agreement; access credentials follow. Send a primary sequence and your product targets, or tell us what you want built, and we will reply from a person.
