Disclosure
OdysseyGPT publishes this page
We sell one of the products compared. Every statement about ChatGPT, Copilot and Claude below is taken from their makers' own documentation, linked in place and re-checked on 22 Oct 2026. Product limits change quickly; check the linked pages for the current position.
Where general assistants work well
- Summarising one datasheet or one section of a specification.
- Explaining a standard or a term in plain English.
- Drafting a covering letter or a clarification you will edit.
- Answering one specific question where you can check the answer against the page yourself.
Engineers have used them this way for years. One commenter on an EPC engineer's AI TBE proposal wrote that they had done all of it with ChatGPT three years earlier, while others noted that general models lack reliable industrial knowledge and that output must be reviewed by a subject-matter expert (LinkedIn discussion; LinkedIn discussion).
What their own documentation says about long packages
| Assistant | What the vendor documents | Why it matters for a tender | Source |
|---|---|---|---|
| ChatGPT Enterprise | Places only the first 110k tokens of uploaded content in context and sends the rest to a private search index; OpenAI notes the details may change. | A full package is often larger, so some clauses are retrieved by search rather than read in full. | OpenAI Help |
| Microsoft Copilot | For some tasks on long documents, Copilot "will focus only on the beginning of the document and then ignore anything beyond that". | Requirements late in a long specification can be missed. | Microsoft Support |
| Copilot Studio | PDF file input is limited to 40 pages, and 15 MB per file. | Most project specifications plus datasheets exceed this. | Microsoft Learn |
| Claude | Supports a 1M-token context and up to 600 PDF pages per request, and supports citations; Anthropic warns that "as token count grows, accuracy and recall degrade" and that dense PDFs with complex tables can fill the context window before the page limit. | Large enough for many packages, but recall on table-heavy datasheets still needs checking. | Claude context windows; Claude PDF support |
What benchmarks say about exhaustive, multi-document review
There is no published benchmark for valve or pump bid review. The closest evidence comes from legal and finance, and it points the same way: finding every item across several documents is where AI tools fall short.
| Study | Finding | Source |
|---|---|---|
| Vals Legal AI Report | No tool found all three warranty-disclaimer clauses; on the hardest question, a 40-field extraction across three credit agreements, the best tool extracted 61.7% of fields accurately. | Vals AI |
| Stanford HAI | AI legal research tools produced incorrect information more than 17% of the time, and one more than 34% of the time. | Stanford HAI |
| FinanceBench | GPT-4-Turbo with a retrieval system answered incorrectly or refused 81% of questions; longer context windows improved results. The models tested are now dated. | arXiv |
Side by side
| Area | General assistant (ChatGPT, Copilot, Claude) | OdysseyGPT |
|---|---|---|
| Best use | Quick questions, summaries and drafting on one document | A full requirement list across the whole tender package |
| Output | Chat answers; tables if you prompt for them | Editable compliance matrix and deviations & clarifications list |
| Coverage | Depends on how you prompt and what fits in context | Gives every requirement a status, including "not addressed", with a quote from the source document and page |
| Cost | Included in many existing licences | Managed plan from $999/month |
| Sign-off | Engineer | Engineer |
OdysseyGPT's limits
- It is not infallible, and it does not interpret engineering drawings such as general arrangements or P&IDs.
- It does not know an owner's unwritten preferences or your commercial position.
- It costs more than a seat you may already have.
- A named engineer must still review each row before anything goes in the offer.
To see the output format, read our technical deviation list guide, or see OdysseyGPT for manufacturing.