Report animal proof-of-concept data for preclinical ocular programs
Not delivered by the deadline
AI-confirmed · human review in progress Independent AI checks agreed on primary SEC or regulator evidence. Records are now being reviewed by hand, starting with those our customers order.
- Announced
- 15 Nov 2021
- Due
- 30 Jun 2022
- Checked
- 2 Oct 2026
- Deadline
- Met
- Late
- Not met
- Today
What the company said
“animal proof-of-concept data anticipated by mid-2022.”
What we found
Evidence strength A What the grades mean
The company stated in August 2022 that proof-of-concept studies were ongoing and data was expected to begin in the third quarter of 2022, missing the mid-2022 deadline.
-
A Abeona Therapeutics Inc. 10-Q filed 2022-08-11
“started dosing mice in proof-of-concept studies that we hope will yield data beginning in the third quarter of 2022” ✓ confirmed on the page
Market reaction: the shares moved +9.7% against the S&P 500 over the three sessions around the disclosure (10 Aug 2022 to 15 Aug 2022). What this measures
Checked 2 Oct 2026.
Commitment lineage
Every time the company restated this commitment. The original is never changed, and the outcome is always measured against version 1.
- Deadline drift +184 days
- 2 versions
-
Version 1 · original · stated 15 Nov 2021
Deadline 30 Jun 2022 (“mid-2022”) · wording expected
-
Version 2 · stated 31 Mar 2022
Deadline 31 Dec 2022 (“beginning in the second half of 2022”) · wording expected
“We also expect animal proof-of-concept data from our preclinical eye programs beginning in the second half of 2022”
Commitment DNA
The structured record of this commitment. Fields the company did not state are left blank rather than guessed.
- Event type
- Clinical readout
- Indicative materiality
- Medium rules
- Action
- Report
- Deliverable
- Preclinical ocular programs proof-of-concept data
- Language
- Expected (“expects”, “plans”)
- In the company’s control
- High
- Specificity
- High
How this entry was checked
- Commitment recordedThe company's words were matched word for word against the filing.
- First checkAn AI model, Gemini (Google), read the company's later filings and recorded the outcome with a quoted passage.
- Second check: agreesA different AI model, Claude (Anthropic), re-read the evidence without being told the outcome and reached the same answer.
- Third check on a negative finding: agreesBecause a negative finding could harm a company if wrong, a stronger model re-read the evidence fully blind and reached the same answer.
Confirmed. This outcome counts towards the company's Kept Score. How verification works
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Report an error in this entry Reference: KI-C-2021-ABEO-003384 · Corrections policy