Bring verified opportunity discovery to your researchers,on your integrity terms.
Scholiad is a reading instrument for the academic job, fellowship, and funding market in the humanities and social sciences. We partner with departments, scholarly societies, and funders to put verified opportunities — and integrity-first AI feedback you control — in front of your researchers.
Every partnership conversation starts with your integrity policy, not a contract.
An illustrative example of what a founding-partner summary could contain — not a live or real partnership.
Who we build partnerships with
Scholiad works with the institutions that support early-career humanists and social scientists through the job, fellowship, and funding market. Three partner types, one integrity-first foundation.
Departments & graduate schools
Give your MA and PhD researchers a single verified feed of academic jobs, fellowships, and funding — with AI feedback you can enable, disable, or audit according to your own integrity policy.
Scholarly societies & associations
Post your fellowships, prizes, and calls directly to the researchers in your field, through a channel built for scholarly opportunity rather than a generic listings feed.
Funders & fellowship programs
Distribute calls for applications to a verified humanities and social-sciences audience, with structured postings that render your eligibility and deadline fields exactly as you supply them.
How a partnership begins
Every partnership runs on the same built foundation: direct posting — push your openings to researchers through our API; per-institution control of the AI advisor features, fully audit-trailed; and access to the verified humanities opportunity and funding database. A branded institution profile is in development for founding partners.
Guided Pilot
One department, one semester — scoped to prove value with no institution-wide rollout risk.
- One department, one semester
- 20–50 seats
- White-glove onboarding
- Defined success metrics
- No institution-wide rollout risk
Institutional Partnership
Institution-wide or multi-department, aligned to your budget cycle.
- Institution-wide or multi-department license
- HECVAT documentation provided
- Annual, aligned to your budget cycle
- Usage reporting
What an institutional partnership delivers
Every partnership is built on capabilities that already exist in the platform — no vaporware, and no promises we can't keep at launch.
Direct posting via API
Push your openings straight into the verified feed. Structured fields — eligibility, deadline, stipend, discipline — render only when you supply them; nothing is invented.
Per-institution AI control
A contract-time toggle enables or disables the AI advisor features for every researcher account under your seat license, consumed by the platform's feature gates everywhere downstream.
Audit-trailed interactions
When AI features are on, each interaction is preserved as an append-only record — original draft, AI feedback, and the revised draft when the researcher submits one. An institution-facing export is a contract deliverable.
Verified database access
Your researchers browse the full humanities and social-sciences catalogue. Reading and browsing are free and unlimited for everyone; only the AI feedback tools are gated.
Procurement-ready documentation
HECVAT, security-practices documentation, the sub-processor list, and completed security questionnaires — available on request for your review.
Institutions choose whether researchers see AI feedback features
Scholiad's AI advisor features — structural feedback on cover letters, research statements, and CVs — are architecturally separable from the platform's core job-matching catalog. Institutional contracts include a per-institution toggle that disables AI advisor features for all researcher accounts provisioned under the institution's seat license.
Some institutional academic-integrity policies treat AI-assisted writing review differently than peer review or writing-center feedback. Scholiad respects those policy decisions — the configuration is yours, not ours.
When AI advisor features are disabled by institutional policy, researchers retain full access to the matching catalog, posting alerts, saved searches, and application tracking. Only the AI advisor feedback features — CV gap analysis, CV tailoring suggestions, cover-letter feedback, research-statement review, portfolio coherence audit, dual-source CV gap analysis, and venue discovery — are gated. The audit-trail architecture means that when AI features are enabled, each interaction is logged with the researcher's original draft and the AI feedback; when the researcher submits a revised draft, that revision is kept alongside them. An institution-facing export across a seat license is available as a contract deliverable.
The relevant institutional comparison is not AI-assisted review versus none. Researchers who want AI feedback on job materials can find it off-platform, where the institution has no visibility. When AI advisor features are enabled under an institutional contract, that use is observable, bounded to feedback on the researcher's own authored draft, and audit-trailed. Disabling the features via the per-institution toggle removes that institutional visibility — it does not remove a researcher's access to general-purpose AI elsewhere.
This is enforced at the application layer, not the marketing layer. Subscription tier determines feature access; per-institution AI-disable is a contract-time configuration setting that the platform's feature gates consume everywhere downstream. Automated test coverage enforces the gating, so AI features cannot accidentally be surfaced to researchers at an institution that has disabled them. The audit trail is recorded as append-only ledger entries; the application layer provides no path to delete or retroactively edit an AI interaction record.
What institutional procurement teams ask about Scholiad
§ Audit trail
Every AI advisor interaction is recorded as an append-only audit record — the researcher's original draft, the AI feedback, and, when the researcher submits a revision, the revised draft, tied to the specific posting reviewed. The application layer provides no path to delete or retroactively edit these records. An institution-facing export of these records across a seat license is available as a contract deliverable.
§ AI feature disable
A per-institutional-contract toggle disables AI advisor features for all researcher accounts. Researchers retain catalog, alerts, and matching; AI features simply aren't available.
§ Data minimization
Drafts sent to AI advisor features are processed under commercial-use terms that include opt-out from AI training-data use, and a researcher's surname is removed before text is sent to the AI provider. Scholiad does not use user documents to train AI models, and it contracts only with AI providers whose terms prohibit training on the content it sends. We are glad to share the current sub-processor list and training-exclusion posture for procurement review.
§ Enforced guarantees
Scholiad's core integrity constraints — conditional framing, audit-trail preservation, and an anti-fabrication discipline, with source-citation on the grounded-appraisal and advisor paths — are enforced by automated tests in the production codebase, not just policy. The scope and design of these constraints is available for discussion in a procurement conversation.
§ Self-service admin panel
Institutional admins manage seats, the AI feature toggle, and audit-log review. Per-institution configuration is handled with the team at contract time.
Founding partner programs
Two ways to help shape Scholiad before public launch.
We are selecting a small number of founding institutional partners. Founding partners are not a customer logo wall gathered after the fact — they are the departments, societies, and funders who help us get the platform right for the field.
Founding partners shape the product; they are not a badge we collect.
Both programs run on the same integrity-first foundation and the same built capabilities. What differs is who you serve and what you bring to the table. Pricing and terms are settled by contract in conversation — we do not publish institutional prices.
Founding Department
Pilot-to-partnership pathway
For A single department or graduate program
We ask
- A semester-long guided pilot
- Feedback sessions with your placement staff
- Room to iterate on onboarding
You receive
- Founding-partner pricing, locked at launch
- A direct line to the team
- Influence over the institutional roadmap
Founding Society
Field-wide distribution
For A scholarly society or funder
We ask
- A set of real calls to post at launch
- A named contact for coordination
You receive
- Priority posting integration
- Founding-partner terms
- Co-development of society-specific features
The promises we refuse to make
An integrity-first platform is defined as much by what it won't do as by what it ships.
It is easy to sell an institution on outcomes, and easy to promise that AI will do the hard part. We won't. Scholiad is built for a field where credibility is the whole currency, and the constraints below are enforced in code and in contract — not in a marketing footnote.
- iWe will not write applications for your researchers. The AI advisor gives structural feedback on a draft the researcher authored. It never ghostwrites, and it never generates a cover letter or statement from scratch.
- iiWe will not promise outcomes. No platform can guarantee interviews, offers, grants, or placements. We measure feedback quality and coverage — never outcomes we don't control.
- iiiWe will not sell or train on your researchers' documents. Submitted documents are not used to train AI models, and we contract only with providers whose terms prohibit training on the content we send.
- ivWe will not fabricate coverage or partners. Source counts, disciplines, and partner institutions appear only when they are real. Our founding-partner slots are an open invitation — never an implied roster.
These are not marketing lines; they are constraints we enforce in code and in contract.
How a partnership starts
Five steps from first conversation to your researchers using the platform. Timelines are indicative and set with you, never imposed.
Conversation
We start with your integrity policy and what your researchers actually need — not a feature demo.
Week 1 · Call
Scoping
We agree the pilot department, seat count, and AI-feature configuration together.
Weeks 1–2 · Shared doc
Procurement
Security review, HECVAT, and contract. We provide the documentation; you set the pace.
Varies · Your process
Onboarding
White-glove setup: accounts provisioned, posting integration live, the feature toggle set to your policy.
Weeks 1–2 · Hands-on
Pilot
Your researchers use the platform for a semester against the success metrics we defined together.
One semester · Reviewed
What the catalogue covers
Scholiad indexes verified opportunities across the humanities and social sciences. We describe coverage in kind, not in inflated counts.
Academic positions
Tenure-track, teaching, and postdoctoral openings across humanities and social-science departments.
Fellowships & residencies
Research fellowships, writing residencies, and visiting appointments from institutions and independent centres.
Funding & grants
Grants, prizes, and funding calls aimed at early-career humanists and social scientists.
Society & funder calls
Calls for applications posted directly by scholarly societies and funders in the field.
We publish real coverage numbers only when they are final and verifiable. Until then, we would rather describe the field than inflate a figure.
Be among the founding partners
These slots are reserved for our founding institutional partners. There is not a roster to join — there is a table to help set.
Begin a conversation
Tell us about your department, society, or program — and your integrity policy. We'll take it from there.
Partnerships begin with a conversation, not a contract. We want to understand how your researchers move through the job and funding market, and where a verified feed and integrity-first feedback would help.
Institutional pricing is set by contract and shared in that conversation; we do not publish institutional prices.
Note Nothing on this page is an offer or a price; figures and slots here are illustrative until a partnership is signed.