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Manakiki

CTMS for small biotech

Clinical trial management software (CTMS) for small biotech companies

A small team, a first or second clinical program, and no time for a long software project. Protocol AI turns your protocol into a reviewed plan with tasks, milestones and owners, so the team can focus on the study.

Protocol AI · Study MK-SAMPLE-201

1 · Extracted

  • Visit 3, Day 28 ± 3 days

    §6.2, p. 42Approved
  • 12-lead ECG at Visits 1, 3, 6

    §6.4, p. 45Approved
  • PK sample, 2 h post-dose

    §7.1, p. 51Needs review

2 · Study plan

Wk 0 to 80
  • Site activation, 3 sites

    CPM

  • First patient in

    Sites

  • Visit 3 window tracking

    CRA

  • PK sample logistics

    Lab

  • Interim data review

    DM

1 item waiting for reviewer sign-off before it enters the plan.
Illustrative example with sample data. Your demo uses a real or sample protocol of your choice.

The reality

Clinical trial management challenges for small biotech companies

Small biotech companies often run clinical programs with a few operations staff, an outsourced CRO and a lot of spreadsheets. The same people plan the study, track vendors and report to the board.

Enterprise CTMS platforms are built for large sponsors. They can take months to configure and expect a dedicated team to run them.

Protocol AI starts from the protocol you already have. Your team reviews the extracted plan, approves it, and works from it, without building a system from scratch.

The problem

Clinical trial management without unnecessary complexity

When the runway is finite, every month of delay matters.

What you get

Simplify clinical study planning

Early access capabilities for small sponsor teams. Roadmap items are confirmed per customer.

AI-assisted clinical protocol planning

Visits, windows, procedures and milestones pulled from the protocol, each with a section and page reference for review.

Manage clinical trial tasks and milestones

Every task has an owner, a due date and a status, tied to the milestones in the approved plan.

Improve clinical operations visibility

One view of progress, risks and deviations that the whole team and your CRO can see.

Budget tracking

A starting budget view tied to the plan, so cost and timeline questions come from the same source.

Guided onboarding

We set up the first study with you, starting from your protocol, instead of handing over an empty system.

Board reporting views

Roadmap

Program-level summaries suitable for board and investor updates.

How it works

From protocol upload to a reviewed study plan

Automation does the first draft. People make every decision that matters.

  1. 01

    Upload the protocol

    Start from the approved protocol PDF or Word file. Or hand it to our team during guided onboarding. No blank setup and no retyping the schedule of activities.

  2. 02

    AI pulls out the study details

    Visits, windows, procedures, eligibility points and milestones are pulled out, each linked to the section and page it came from.

  3. 03

    Your team reviews and approves

    A project manager or clinical lead accepts, edits or rejects each item. Nothing enters the plan without a named reviewer.

  4. 04

    The study plan is generated

    Approved items become a timeline, a task list with owners and a starting budget.

  5. 05

    Run the study in one place

    Track tasks, milestones, risks, issues and deviations as the study moves, with a history of who changed what.

Generated automatically

Draft extraction of visits, windows, procedures and milestones, each with a protocol section reference, plus a draft timeline and task list.

Requires human review

Every extracted item, every task owner and date, and the approved plan itself. Nothing is used until a named reviewer approves it.

Fit

Why small biotech teams should explore Protocol AI

Practical for teams without a dedicated clinical systems function.

  • Pricing scaled to your study, with no long implementation project.
  • Works beside your CRO and its systems.
  • Plans stay linked to the protocol, which makes amendments easier to handle.
  • Clinical operations services from the same team when you need extra hands.

Compliance

Documentation and compliance, stated plainly

Protocol AI keeps an audit trail of changes with user and time, limits access by role, and links every extracted item to its source in the protocol. It is designed to support 21 CFR Part 11 controls and the sponsor oversight expected under ICH E6(R3), showing who approved each part of the plan.

Compliance also depends on your procedures, so formal system validation is completed with each regulated customer rather than claimed in advance. Read the security and compliance overview for details.

FAQ

Frequently asked questions

Is Protocol AI too much system for a single study?

No. It is priced per study and set up from your protocol, so a single study is a normal starting point.

How long does it take to get started?

Onboarding is guided per study. The first step is uploading the protocol and reviewing the extracted items with your team, which we walk through together.

Is Protocol AI 21 CFR Part 11 compliant?

Protocol AI is designed to support 21 CFR Part 11 controls, including audit trails, role-based access and attributable changes. We do not claim validated or Part 11 compliant status. Before regulated use, validation and controls are assessed and agreed with you for your intended use.

How much does Protocol AI cost?

Pricing depends on your study, number of sites and the support you need. Book a demo or contact us and we will send a clear quote.

See your own protocol turned into a plan

Bring a protocol, or use our sample study. In 30 minutes you will see the extracted schedule, the generated plan and what your team reviews before anything goes live.

Prefer email? Write to jmodi@manakiki.net. A person replies, usually within one business day.