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Capabilities · Research & Development

Non-infringing process development, DSIR-approved

Mac-Chem's DSIR-approved R&D lab develops non-infringing manufacturing processes across oncology and non-oncology APIs, focused on cost efficiency, complex reaction execution, and on-time delivery.

R&D ≈ 8% of revenue · 10–12 generic molecules developed per year (company-reported)

The lab

A DSIR-approved R&D function

Mac-Chem's research and development work is carried out in a DSIR-approved R&D lab, supporting process development for both the marketed API catalog and the pipeline behind it.

What R&D does

Non-infringing process development

The R&D function is built around non-infringing process development: designing manufacturing routes that clear a molecule's technological and IP barriers rather than replicating an existing route. Alongside route design, the team targets cost efficiency through process optimization, the ability to execute complex reactions reliably, and on-time delivery against partner timelines.

Scope

Oncology and non-oncology APIs

R&D work spans both of Mac-Chem's core therapeutic areas: oncology APIs and non-oncology (general) APIs, feeding all three of the company's API segments, Oncology API, Lyophilized Bulk Sterile API, and General API.

Investment

Company-reported R&D activity

Mac-Chem reports R&D spend at approximately 8% of revenue, supporting development of 10 to 12 generic molecules per year.

  • 10

    Oncology candidates

  • 7

    Non-oncology candidates

  • 17

    Total pipeline molecules

The team

41 scientists, plus regulatory and project management

A technical team of 41 scientists, covering synthesis and analytics, underpins R&D and process-development work, supported by dedicated regulatory affairs and project-management functions that carry a molecule from lab-scale development through to a partner-ready dossier.

Pipeline register

17 molecules in development

Every row below is drawn live from Mac-Chem's documented API pipeline (src/data/pipeline-api.json) — not illustrative placeholder data.