The grants you can actually win, found for you.
AIGrantMentor reads your papers, matches you to live calls from ANRF, DST, DBT, ICMR and 1,000+ funding agencies and opportunities a year, tells you on WhatsApp the day one opens, and scores your draft against the agency's own rubric before you submit.
Free to start · No credit card · Your drafts are never used to train models
Stable wide-bandgap perovskites for tandem photovoltaics
ANRF · Prime Minister Early Career · closes in 38 days
94%Materials for low-cost solar deployment
DST · Clean Energy Research Initiative · closes in 61 days
88%Defect engineering in thin-film semiconductors
SERB · Core Research Grant · closes in 12 days
74%Next-generation PV for the built environment
Horizon Europe · Cluster 5 · open
69%
Why this one matched
Stable wide-bandgap perovskites for tandem photovoltaics
- PhD awarded within 7 yearsmet
- Regular faculty at a recognised institutionmet
- No other ANRF grant held as PImet
- Institutional endorsement letterto do
What they funded before
- Perovskite tandem stability · ₹48L · DST · 2024
- Solution-processed PV interfaces · ₹36L · SERB · 2023
- Encapsulation for humid climates · ₹52L · ANRF · 2025
Illustrative data.
- projects funded by Indian government agencies, searchable
- 50,000+
- funding agencies and opportunities tracked every year
- 1,000+
- research disciplines your profile is mapped to
- 49
Why proposals fail
Most proposals lose before anyone reads the science.
Seven mistakes account for most rejections, and none of them are about the quality of your research. Each one has a fix, and each fix is a part of this platform.
- 01
You applied to the wrong call
The science was strong. The call was funding something adjacent to it, and the panel had no box to put you in.
Matched calls, rankedYour publications are mapped to research areas, and every open call is mapped to the same areas. You get the six that genuinely fit, not two hundred you have to read.
- 02
You missed the deadline entirely
The call that was written for your exact work opened in March and closed in May. Nobody forwarded it to you.
Same-day alertsWhatsApp and email the day a matching call opens, with the fit score, the closing date and the reason it matched.
- 03
You were desk-rejected on eligibility
Years since PhD, ongoing grants as PI, institutional recognition, a missing endorsement letter. Rejected before a scientist read a word.
Eligibility screened firstEvery rule in the call is checked against your profile and shown as a plain checklist, with the ones you still need to fix.
- 04
You proposed what they had already funded
The agency has paid for that idea forty times — or has never funded anything like it and has no line to fund it from.
50,000 funded projectsSearch what each agency has actually paid for, in your field, by year and by amount. Position your idea in the space they are still buying.
- 05
You could not prove the idea was new
Novelty is scored by every panel — and novel means novel against patents, not only against papers. Someone filed on it in 2022 and you found out at the review.
Patent search built inSearch the patent record for prior art on your idea before you commit to it, shortlist the closest hits, and turn the gap you find into the novelty claim your proposal needs.
- 06
You wrote it for scientists, not for the rubric
Impact written as scientific interest. Objectives with no deliverable. A budget with equipment no work package uses. All scoreable, all avoidable.
AI review before you submitYour draft is marked against that call’s own criteria and weights, and you get the specific line to fix — while there is still time to fix it.
- 07
You guessed at the format
Wrong annexures, missing ethics clearance, a budget head that gets proposals returned unopened by that particular agency.
Templates that have wonStart from the structure of proposals that this agency has already funded, and sit in a live session with the people who used to review them.
How it works
You do the research. We do the chasing.
Setup is one afternoon's coffee break. After that it runs whether you log in or not.
- 014 minutes
You paste your work
Add your papers and research areas.
Paste a Scopus, ORCID or Google Scholar link, or tag a few publications. Four minutes, once.
- 02Automatic
We map you
Your research is placed on the funding map.
Your work is matched to a 49-discipline catalogue. Every incoming call is placed on the same map, so fit is measured, not guessed.
- 03Same day
The call finds you
You hear the day a matching call opens.
WhatsApp and email, with the fit score, the deadline and what it matched on. No dashboard to remember to check.
- 04~10 minutes
You get reviewed
Your draft is scored before the agency sees it.
The AI reviewer marks it against the call’s rubric, and the templates show you how funded proposals were structured.
Profile mapping
We read your papers so you never read a call list again.
Keyword search hands you two hundred calls and makes you the filter. Instead, your publications and research areas are placed on a 49-discipline map — and so is every incoming call. Fit becomes a number you can trust, and the call’s eligibility rules are checked against you before it ever reaches your list.
- Import from Scopus, ORCID or Google Scholar — you do not retype anything.
- Every call scored against your profile, with the terms it matched on shown.
- Eligibility checked line by line, so you never spend a month on a call you cannot enter.
For example
Dr. Rao uploads 14 papers on perovskite stability. She is mapped to materials science, renewable energy and condensed-matter physics. Of 214 open calls, 38 are ones she is eligible for and 6 score above 70%. She reads six, not two hundred.
Dr. Anita Rao
Associate Professor, Department of Physics
You give us
14 journal papers
pulled from Scopus in one click
2 research areas
you choose these yourself
1 completed SERB grant
adds funded-track evidence
Mapped to 4 of 49 disciplines
- Materials science94%
- Renewable energy81%
- Condensed matter physics62%
- Chemical engineering28%
- 214
- calls scanned
- 38
- you are eligible for
- 6
- strong matches
Sample profile. Percentages are how strongly the profile sits in each discipline — the same scale every call is placed on, which is what makes a fit score mean something.
New call matched to your profile — 94% fit
- ANRF Prime Minister Early Career Fellowship
- Perovskite and tandem photovoltaics
- Closes 28 Oct · 38 days left
Matched on: perovskite stability, tandem PV, defect passivation
Open the call →
09:12
- 94%
ANRF PM Early Career Fellowship
closes in 38d
- 88%
DST Clean Energy Research Initiative
closes in 61d
- 74%
SERB Core Research Grant
closes in 12d
You choose: instantly, daily, or one weekly digest.
Alerts
The call comes to you, the day it opens.
The most expensive thing you can do is find out about the right call in its last week. New calls are matched against every profile as they are published, and the people they fit are told immediately — on WhatsApp and by email, with the fit score, the deadline and the reason it matched.
- WhatsApp and email, whichever you actually read.
- Instantly, a daily summary, or one digest a week — your choice.
- Deadline reminders as the closing date approaches, so nothing lapses quietly.
For example
The ANRF Early Career call is published on a Tuesday morning. By 09:12 the eleven faculty it fits have it on their phones, with 38 days still on the clock — not eight.
Meet Mira
A mentor who has read every call, so you do not have to.
You have questions a search box cannot answer: who funds this, how much do they give, what did the funded ones do differently, am I eligible. Ask Mira the way you would ask a senior colleague. She answers from the calls and the funded-project record — and shows the records behind every number, so you can check her.
- Mira cites real award records, never a general web search.
- Compare agencies, amounts, success patterns and deadlines in one question.
- Ask about a specific call and she reads that call’s own documents back to you.
For example
“Which agencies funded solid-state battery work in the last three years, and what did they pay?” — four funders, 61 projects, average award per agency, and the one call that is still open.
Which agencies have funded solid-state battery work in the last three years, and what did they pay?
Four funders, 61 projects since 2023. DST leads on count, ANRF on average size.
| DST | 24 projects | ₹31L avg |
|---|---|---|
| ANRF / SERB | 18 projects | ₹47L avg |
| DRDO | 11 projects | ₹64L avg |
| BIRAC | 8 projects | ₹22L avg |
The DST Materials for Energy Storage call is open, closes in 44 days, and you clear every eligibility rule.
What did the funded ones have that mine does not?
Nineteen of the 24 DST awards named an industry partner and a TRL target at the outset. Your draft names neither. That is the largest single gap between you and the funded set.
Sample conversation. Mira answers from your institution's data and the funded-project record, and shows the records behind every number.
AI grant reviewer
Get rejected here. It is much cheaper.
A real panel gives you a decision and, if you are lucky, one line of feedback a year later. The AI reviewer marks your draft against that specific call’s criteria and weights, tells you which sentence is costing you points and what to put there instead — while you can still change it.
- Scored on the call’s own criteria and weights, not a generic checklist.
- Every finding names the criterion it costs you points under.
- Re-run it after each edit and watch the weak criteria come up.
- Export the full review as a Word document for your co-PIs and your office.
For example
A first draft scores 2.8 out of 5. The reviewer finds an ageing claim with no test standard behind it, ₹18L of equipment tied to no work package, and impact written for scientists instead of for the mission the call funds. Three fixes, one afternoon, and the same draft scores 4.3.
Scored against the call's own rubric
ANRF PM Early Career · 4 criteria, weighted
first draft after the fixes belowscale 0–5
What it told her to fix
- Will cost you pointsFeasibility and methodology
No characterisation plan behind the accelerated-ageing claim in Objective 2.
Fix: Name the test standard (IEC 61215), the sample count, and the facility that runs it.
- Will cost you pointsBudget justification
₹18L of equipment is requested but used by no listed work package.
Fix: Tie every line item to a work package, or remove it.
- Weakens the caseExpected impact
Impact is written as a benefit to science, not to the mission this call funds.
Fix: Restate impact against the call’s stated outcome: domestic manufacturing readiness.
Sample review. Every finding names the criterion it costs you points under, so you can decide what is worth the time before the deadline.
The evidence
50,000 projects your agencies have already paid for.
Every match, every gap and every template on this page is grounded in the same thing: what Indian government agencies actually funded, in your field, in the last decade. Search it by agency, topic, year and amount — and see both the crowded ground and the pocket nobody has claimed.
| Agency | Topic cluster | Median award | Year | Projects |
|---|---|---|---|---|
| DST | Energy storage materials | ₹31L | 2025 | 412 |
| ANRF / SERB | Semiconductor devices | ₹47L | 2025 | 689 |
| DBT | Vaccine platforms | ₹1.2Cr | 2024 | 233 |
| ICMR | Non-communicable disease | ₹68L | 2024 | 341 |
| BIRAC | Medical devices | ₹22L | 2025 | 178 |
| CSIR | Industrial catalysis | ₹39L | 2023 | 256 |
2,109 projects match this query, out of 50,000+ funded by Indian government agencies. Open any row to read the sanctioned title, the PI's institution and the amount. Illustrative data.
Who funds work like yours
Indian government projects matching “photovoltaic materials”, 2021–2025.
| DST | 268₹81Cr | |
|---|---|---|
| ANRF / SERB | 194₹92Cr | |
| MNRE | 143₹61Cr | |
| CSIR | 87₹29Cr | |
| MeitY | 41₹14Cr |
Bar length = funded projects; the figure beside it is total awarded. Closest precedent to your idea: Perovskite tandem stability · ₹48L · DST · 2024. Illustrative data.
Where the money has already gone
Indian government funding in photovoltaics, by sub-topic and year. The pale row is the gap.
| Sub-topic | 2021 | 2022 | 2023 | 2024 | 2025 |
|---|---|---|---|---|---|
| Silicon PV efficiency | 31 | 36 | 42 | 39 | 44 |
| Perovskite synthesis | 18 | 24 | 29 | 33 | 31 |
| Module encapsulation | 9 | 13 | 18 | 21 | 26 |
| Tandem cell design | 5 | 8 | 12 | 15 | 13 |
| Humid-climate ageing | 1 | 2 | 0 | 1 | 2 |
Ageing of tandem modules in humid climates — 6 funded projects in five years, the least crowded pocket that still sits inside the call's scope. Illustrative data.
For example
Perovskite synthesis has been funded 135 times in five years — that ground is crowded. Ageing of tandem modules in humid climates has been funded six times, and still sits inside the call's scope. That is where the same idea becomes fundable.
IN 402118
Polymer encapsulant composition for photovoltaic laminates
Indian Institute of Technology · 2022
71%
Encapsulant chemistry, but silicon single-junction only
IN 389442
Moisture barrier film for solar module back sheets
Private applicant · 2021
64%
Barrier film, no tandem or perovskite layer
IN 445907
Edge sealing method for perovskite solar cells
CSIR · 2024
58%
Edge seal, not the full stack under damp heat
Novelty gap found
No granted Indian patent covers a tandem-specific encapsulation stack qualified under damp-heat cycling. That absence is the novelty paragraph.
Closest prior art scores 71% and does not read on the claim.
Sample search over Indian patent records. Shortlisted patents stay attached to the idea, so the novelty argument is still there when you write the proposal. Illustrative data.
Patent search
Check the idea is new before you spend six months on it.
Every panel scores novelty, and novel means novel against the patent record, not only against papers. Search granted and published patents for prior art on your idea before you commit — then use what you did not find as the novelty claim the proposal needs.
- Search by concept, not just keywords, and see what each hit actually overlaps with.
- Shortlist the closest prior art and keep it attached to the idea you are developing.
- Turn the gap into a novelty paragraph a reviewer can check.
For example
A search on humid-climate encapsulation for tandem modules returns 34 Indian patents. The closest scores 71% and covers silicon single-junction only — nothing reads on the tandem stack she is proposing. That absence is the novelty paragraph.
Proven templates
Start from a structure that has already been funded.
A blank agency form tells you the section names and nothing about what belongs in them. These templates carry the structure of proposals that this agency has funded: how objectives were phrased, which annexures were attached, how the budget was tied to the work, and the sections where proposals usually get returned.
ANRF / SERB
12 sections
Core Research Grant
Objective phrasing, work-package split and budget heads drawn from funded CRG awards.
DST
14 sections
Technology Mission Division
TRL statement, industry-partner letter and deliverable table in the form DST expects.
DBT / BIRAC
16 sections
Biotechnology R&D
Biosafety and ethics annexures, plus the translational-pathway section reviewers look for.
ICMR
13 sections
Extramural Research
Study design, sample-size justification and the budget heads that get proposals returned.
- 1. Title and abstractThe phrasing DST indexes on
- 2. ObjectivesThree to five, each with a deliverable
- 3. Work packages and timelineGantt with named responsibilities
- 4. TRL statementStart TRL and target TRL, stated plainly
- 5. Industry partner letterPresent in 19 of 24 funded awards
- 6. Budget by headEvery line tied to a work package
Structure drawn from proposals this agency has funded. You still write the science — the template stops you losing points on the parts that are not science. Illustrative data.
Live training
Learn from the people who used to sit on the panel.
Software can tell you what the rubric says. It cannot tell you what a review committee argues about at 4pm on the second day. We run regular sessions with retired agency scientists and former programme officers — one agency and one call type at a time, with live questions from your faculty.
- Sessions built around a specific agency and call, not general grant-writing advice.
- Led by retired scientists and programme officers from ANRF, DST, DBT and ICMR.
- Live Q&A, and the recording stays available to everyone at your institution.
- ANRFEvery second Thursday
What the Early Career panel actually scores
Former SERB programme officer, 11 years
- DBTMonthly
Writing the biosafety and ethics annexure
Retired DBT scientist, ex-review committee
- ICMRMonthly
Budget heads that get proposals returned
Former ICMR grants administrator
- Institution plans include the full session calendar, recordings, and a session run for your campus on the agency your faculty apply to most.
This funding window, by school
Jul–Dec 2026| School | Matched | Claimed | Submitted | Claim rate |
|---|---|---|---|---|
| School of Physical Sciences | 34 | 28 | 11 | 82% |
| School of Bioengineering | 41 | 39 | 17 | 95% |
| School of Chemical Engineering | 22 | 9 | 3 | 41% |
| School of Computer Science | 58 | 21 | 6 | 36% |
- DST CERI closes in 12 days — 9 matched faculty, nobody has claimed it
- Chemical Engineering has 13 matched calls unclaimed this month
- Bioengineering submissions are up 41% on last funding window
Sample board. Claim rate is claimed ÷ matched — the drop-off the office is there to close. Illustrative data.
Research administration
Your research office finally sees the whole board.
A DSR office usually learns about a submission when someone needs a signature. Here, every open call is already matched to the faculty it fits, assigned to a school, and tracked from claim to submission — so the office spends its time chasing the calls nobody has taken, not building spreadsheets.
- Assign calls to schools and faculty, with accept, decline and follow-up tracked.
- See where the drop-off is: matched, claimed, submitted, school by school.
- Automatic reminders and weekly digests instead of chasing people by email.
- Report submissions by school and by funding window, on your own academic calendar.
For example
A DST call closes in twelve days. Nine faculty match it and nobody has claimed it. The office sees that on its board on day one, not on day eleven.
Who it is for
One platform, four very different jobs.
Researchers and faculty
The calls that fit your actual work, the evidence of what won before, and a reviewer’s verdict while you can still act on it.
Free to start
Deans and heads of school
See which faculty are matched to open calls, who has claimed them, and which deadlines are about to pass with nobody on them.
Institution plan
Research and DSR offices
Assign calls to schools, chase follow-ups, and report submissions per school and per funding window without a spreadsheet.
Institution plan
Startups, SMEs and consultants
Find non-dilutive routes through BIRAC, DST, MeitY and the EU, and pressure-test more proposals with less manual searching.
Talk to us
Before you ask
The five questions everyone asks.
Tenant-isolated by design. Encrypted in transit and at rest. SSO on request.
Is my unpublished proposal safe here?
Your drafts and ideas stay inside your institution’s own tenant. They are never shared with another institution and never used to train models. Encrypted in transit and at rest, role-based access for research offices, SSO on request.
Does this really cover Indian agencies?
Yes. ANRF, SERB, DST, DBT, ICMR, CSIR, BIRAC, MeitY, ICAR, AICTE and state councils, alongside Horizon Europe, NIH, NSF, UKRI and the major foundations. New sources are added on request during a pilot.
Does the AI write my proposal for me?
No. It finds the calls, shows what the agency has funded before, gives you a structure that has worked, and reviews what you wrote against the rubric. The science stays yours — that is the part reviewers can tell.
How much work is this for my research office?
Setup is a faculty list and your school structure. After that the mapping runs on its own, and the office works from a queue of open calls and follow-ups instead of from its inbox.
What does it cost?
Individual researchers start free. Institution pricing is per school and includes the administration module, alerting and the training series. Book a demo and we will size it for your campus.
Your next funded project is already in the data.
Add your papers and see the calls you match, the money your agencies have already paid for work like yours, and what a reviewer would say about your draft.
Free to start · No credit card · Campus-wide pilots available