Change the RegOps status quo — uncompromised quality. Better, faster, economical. A towering ocean wave breaking under a clear blue sky.

You deserve better.

From our perspective, the current ecosystem of vendors that support regulatory operations for “last mile” submissions has been innovating so slowly it's hard to tell apart from standing still. We set out to push the frontier of what is possible.

Not improving it at the margin, but reshaping it — that's the frontier, and it's in the name for a reason.

  • Uncompromising QualityFull content integrity, validation and visual integrity
  • BetterNo manual entry errorsNo AI hallucinations
  • Faster~95%+ final XML generated in minutes
  • EconomicalWe innovate, you save

At RegFrontier, we cracked the code so you no longer need to settle for the status quo.

The same tasks, current manual way versus RegFrontier Six regulatory tasks, each shown with the customer challenge it creates, the current solution, and the result with RegFrontier. Transforming a 200 page label: nobody has 200+ hours to hand-create that; currently ship to a vendor, pay and wait many days; with RegFrontier ~95% of the XML generated in minutes, with a 1–2 day turnaround. A minor label edit: too complicated to edit the XML; currently ship to a vendor, pay and wait many days; with RegFrontier you do it yourself in minutes with no XML PhD required. A BNCC report: a last-minute, all-hands scramble; currently ship to a vendor, pay and wait many days; with RegFrontier you do it yourself in minutes. A Canadian drug label: no idea where to even begin; currently ship to a vendor, pay and wait many days; with RegFrontier ~95% of the SPM XML generated in minutes, with a 1–2 day turnaround. Label data management for US and Health Canada labels is currently in silos all around the company, meaning multiple fragmented solutions; with RegFrontier it sits in a single platform. Drug label research across siloed databases means pulling and analysing data over many hours; the current solution is manual search and/or multiple solutions; with RegFrontier many questions are answered in minutes. The Task Current Solution With RegFrontier Label data management US and Health Canada labels Multiple fragmented solutions In a single platform Transform 200 page label with 100+ tables and charts and graphs Ship to vendor Pay $ Wait many days ~95% XML generated in minutes 1–2 day turnaround A minor label edit a few sentences across several sections and small metadata update Ship to vendor Pay $ Wait many days DIY in minutes No XML PhD required A BNCC report blanket no-change Ship to vendor Pay $ Wait many days DIY in minutes A Canadian drug label Health Canada SPM Ship to vendor Pay $ Wait many days ~95% XML generated in minutes 1–2 day turnaround Drug label research across siloed databases Manual search and/or use multiple solutions Get answers to many questions in minutes Nobody has 200+ hours to hand-create that Too complicated to edit the XML A last-minute, all-hands scramble No idea where to even begin In silos all around the company Pull data & analyze Spend many hours Customer Challenge

All within a single platform. No XML PhD, app plug-ins or additional tools necessary

For the last two decades, life sciences companies, large and small, have relied on a handful of expert vendors to tackle the “last mile” for regulatory submissions. It genuinely required both deep subject matter expertise in Structured Product Labeling XML creation and a great deal of time to do it yourself using publicly available tools. Given how complex, tedious and time consuming building SPL submissions were, it made sense for specialized vendors to emerge and do the work mostly by hand. Labor arbitrage across geographies will only get you so far, and it creates its own set of unique challenges. As a result, the mindset has been “why spend money fixing something that ain’t broke?”

We are changing the game via ground-breaking innovation

The problem is a tough one! Converting unstructured/semi-structured content into a highly structured and specific XML format — where there are many validation rules — is not a trivial task. You also have to guarantee the content integrity and the visual integrity of the end product.

Unstructured label artifacts transformed into valid SPL XML A prescribing-information page, a product carton and pen, a dose-response chart and a dosing table feed into a transformation engine governed by the roughly 300-page FDA SPL Implementation Guide and by content and visual integrity checks, producing valid SPL XML. What the customer has today EXAMPLA- exennatide injection, solution Acme Pharma Inc. BOXED WARNING Prescribing information EXAMPLA 5 mg / 0.5 mL 4 pens · carton Carton Pen device Dose response dose (mg) → Dosing & strengths Start2.5 mg weekly Titrate+2.5 mg / 4 wk Max15 mg weekly NDC1234-5678 Validation rules SPL Implementation Guide FDA · ~300 pages RegFrontier Rapid Transformation Engine Content integrity Visual integrity EXAMPLA SPL · valid 1<?xml version="1.0"?> 2<document> 3<code code="34391-3" 4displayName="HUMAN... 5<title> 6<content bold> 7EXAMPLA 8</content> 9</title> 10<setId root="a1b2..."/> 11<author> 12Acme Pharma Inc. 13</author> 14</document> valid, gateway-ready
An approved label, med guides, IFUs, PDPs and its metadata go in. The transformation runs inside the regulator’s validation rules — FDA for SPL, Health Canada for SPM — holding content and visual integrity, and valid SPL or SPM XML comes out. (Illustrative example — fictional product.)

We follow a rigorous, 5-step process to deliver uncompromising quality. The percentage is how much of the final XML is complete after each step; the clock starts the moment your submission package reaches us:

  1. Step 10%

    You supply the label and the metadata

  2. Step 2~95%+

    Generate validated initial XML utilizing RegFrontier Rapid Transformation Engine

  3. Step 3~98%

    Ensure content integrity

  4. Step 4~100%

    Ensure visual integrity

  5. Step 5100%

    Review, approve and deliver final XML

Step 1Clock starts

Step 2Automated: 1–20 min, depending on label complexity

Steps 3–5Manual: 15 minutes to a few hours, depending on label complexity

While we applied our process to labels, our transformation engine can be rapidly customized to handle any semi-structured to structured conversions that are governed by strict validation rules.

Then there is making edits to existing labels. Even updating a single sentence required knowledge of LOINC codes and XML structures, among other things. It can be quite complex. But does it have to be? We took on that challenge too.

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We are revolutionizing labeling data management and connected research. Join our 30-day pilot and get free access, dedicated support, and a say in the features you actually need. Only 10 slots are available.

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Ahh! And then there is the label research problem!

When you have to access multiple silos to formulate a single answer, it can be a grueling and time-consuming process:

The manual label-research workflow: define, get the facts, analysis, answer Answering an ordinary regulatory label-research question runs through four stages. Define the problem sets the questions reg-ops actually asks. Get the facts means pulling scattered pieces from many separate FDA databases. Analysis means connecting those pieces in Excel or BI tooling. Only many hours later does the answer arrive. The two middle stages carry the time cost. STEP 1 Define the problem the questions to answer STEP 2 · HOURS Get the facts pull pieces from every scattered silo, one by one STEP 3 · HOURS Analysis connect the clues in Excel & BI modeling STEP 4 The answer hours later “Did a competitor’s label just change — must ours?” “How does our label compare to the reference listed drug?” “What’s the adverse event profile for GLP-1 drugs?” FDA database #1 more silos… FDA database #N DailyMed workbook.xlsx manual joins, pivots, VLOOKUPs WHAT IT TOOK N databases. Many hours.

And the hours are not even the real cost. The answer cannot be reproduced. Six months later somebody asks where the number came from, the person who assembled it has moved on, the spreadsheet is still there, and nobody can defend it — so the whole thing gets done again from scratch.

At RegFrontier, we worked on this too!

We were already bringing a number of silos together. So we asked ourselves, “Why not enable great research across silos?” We then built two ways in. AI-assisted ad hoc research, for the question you have not asked before — put it in plain language and get an answer in minutes, grounded in DailyMed and the other FDA data connected behind it. And canned research, for the questions you already know are coming. Either way, the answer resolves to a record you can open.

Research on RegFrontier: ask, one connected corpus, the answer Two ways in — AI-assisted ad hoc research for a question you have not asked before, and canned research for the questions you already know are coming. Both run against one connected corpus of DailyMed and the other FDA data, interconnected once rather than per question. The answer comes back in minutes and opens to a record you can defend, re-run or download. STEP 1 Ask in plain language STEP 2 · MINUTES One connected corpus DailyMed and the other FDA data, already interconnected STEP 3 The answer minutes later AI-assisted ad hoc the question you have not asked before Canned research the questions you already know are coming DailyMed FDA database #1 FDA database #N interconnected once, not per question Opens to a record sourced, re-runnable, downloadable
What it takesOne platform. Get Answers in Minutes.

Join the first ten

Free access for 30 days, dedicated support, and a say in what we build next.

Pilot Us

What we believed to be true when we started …

We shape our own destiny

  • Persistence and grit is everything
  • Keep experimenting and moving forward
  • Trying and failing is better than just sitting still

Complexity is just a riddle that needs solving

  • It is possible to speed things up by 10X or more
  • Anybody should be able to edit a label without a PhD in XML
  • There is a better way than living in silos

In regulatory, “99% right” is the same as wrong

  • Hallucinations can harm people. Advanced technologies like AI must be used with the utmost care and thoughtful deliberation
  • Data transformations must maintain data fidelity. Anything less is completely unacceptable

Our core values

Customer First

We do the right thing, the right way. We are obsessed with understanding the problems our customers have, bringing innovative solutions to solve them, and exceeding expectations.

Frontier Living

We live on the edge and relentlessly march forward so we can keep redefining the frontier of what is possible. We experiment, and innovate, and try out new ideas and technologies. We do not sit still and observe or get complacent.

Humility

We become better ourselves by listening to our customers and through continuous learning. We ask questions to really understand what is being said.

Authenticity

We are imperfect but committed to improving every day. If we make a mistake, we admit and learn from it and make things better. We accept and respect everyone as they are. We operate uncompromisingly on facts and truths.