Build vs buy regulatory AI: get cited answers today
Weighing build vs buy regulatory AI? RegAffairs AI gives you cited answers in seconds, so you skip building the sourcing, refresh and citation layer yourself.
Self-serve and free to try. Ask your first question today.
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An in-house AI regulatory assistant needs more than a model and a document store. It needs official sources kept current and evidence your reviewer can check. RegAffairs AI searches official regulatory data across jurisdictions in one question. Every claim links to the stored source document, and the research trail is on the answer page.
What an in-house regulatory AI build involves
Building AI for regulatory affairs means owning the data and evidence behind every answer. RegAffairs AI gives you that foundation today.
- Sourcing the corpus. A build starts with finding and loading official sources: EU annexes, candidate lists, national registers, FDA databases and MRL tables. Each has its own format and access rules. RegAffairs AI already searches them as one corpus, across chemicals, cosmetics, food, pesticides, biocides, pharma and medical devices. See the coverage page.
- Keeping it current. Candidate lists grow, annexes get amended and registers change. A build needs an ongoing refresh process. With RegAffairs AI, the refresh is weekly and done for you, with new sources added every week.
- Linking claims to evidence. A document title is not enough to check an annex entry. A build needs a citation layer tied to the relevant passage, plus testing to keep it working. RegAffairs AI cites to the paragraph and opens the stored source. See cite the paragraph.
- Showing the research trail. A reviewer needs to see how the answer was reached. RegAffairs AI shows every search and document read on the answer page. Your engineers do not have to build it.
- Answering across markets. One product line can touch the EU, US, UK, Brazil and Korea. RegAffairs AI covers several jurisdictions in one question and answers in your language.
RegAffairs AI vs in-house AI: side by side
| RegAffairs AI | In-house AI build | |
|---|---|---|
| First cited answer | Ask today, free; quick answers in seconds | Source loading and citation work before launch |
| Official sources | Maintained and searched as one corpus | You find, check access terms, load and clean each source |
| Cross-jurisdiction research | Multiple markets in one question | You assemble and maintain the market coverage |
| Refresh | Weekly, done for you | Your team owns the ongoing refresh |
| Citations | Paragraph-level, opening the stored source document | You build and test the citation layer |
| Research trail | Every search and document shown on the page | You build the trail |
| Cost | Free to try; Pro $100 per user per month, cancel anytime | Engineering time, model, hosting and data upkeep |
Test regulatory AI on the questions already on your desk
Open a shared answer and check its citations before you write a build plan:
- What is the regulatory status of hexabromocyclododecane (HBCDD) in the EU, the US and China?
- What is the acceptable daily intake for glyphosate in the EU, US EPA, Codex, Japan and Korea?
- What patents and exclusivities are listed in the FDA Orange Book for apixaban (Eliquis), when do they expire, and which generic ANDAs are approved?
- What is FDA product code DQY, what device class and regulation number is it?
Then ask your own question and open the source documents.
What build vs buy regulatory AI costs
RegAffairs AI's price is public. The Free plan needs no credit card. It includes cited answers from primary sources, the full corpus, all jurisdictions and the research trail.
Pro costs $100 per user per month, with unlimited questions, deep research and priority speed. It runs month to month, with no contract and no cancellation fee. Enterprise is available on request.
An internal build carries engineering time, model and hosting costs, plus ongoing sourcing and refresh work. Test this regulatory intelligence software on real work today. Then put an actual cited answer into your business case.
Built for regulated teams
Questions, documents and uploads are never used to train models. EU data residency is the default, and deletion is available on request. Review the security controls while you test your first question.
Build vs buy regulatory AI: FAQ
Should we build our own regulatory AI or buy one?
Start with RegAffairs AI. The official corpus, weekly refresh and paragraph-level citations are already in place. Ask a real question today, free, before you scope a build.
How long does an in-house AI regulatory assistant take to build?
Plan for source loading, cleaning, refresh processes and citation testing. RegAffairs AI has that foundation ready, so your first cited answer comes in seconds.
Can't we just point ChatGPT or another LLM at our documents?
You still need current official sources and citations that link each claim to the relevant passage. RegAffairs AI searches official regulatory text and shows its sources and research steps. See RegAffairs AI vs ChatGPT.
Ask the hardest question on your desk
Get a cited answer today. Open the evidence and see the research trail for yourself.