Company details

HEADCOUNT

25-99

ORG TYPE

Startup

SECTOR

Technology & Digital

WEBSITE

https://www.memories.ai

About the company

Memories.ai is an AI research lab and product company focused on long-context video understanding, describing its core technology as a “Large Visual Memory Model” that can index and retrieve from large video archives. Public materials position Memories.ai as building memory infrastructure for AI systems, with applications across security, media, marketing, sports and robotics. In July 2025, Memories.ai announced an $8M seed round led by Susa Ventures with participation from investors including Samsung Next and Seedcamp. The company also markets compliance and trust signals such as SOC 2 Type II and GDPR.

Locations and presence

Memories.ai lists headquarters in San Francisco and also references a Delaware corporate address. The careers page markets “Worldwide” roles and remote support, but does not clearly explain where teams actually sit day to day.

Palpable Score

45.8

/ 100

Memories.ai is currently easier to recommend to early-career candidates who can enter via an internship, rather than to new grads seeking multiple junior tracks. The company is held back by limited public detail on interview steps, pay bands, and early-career progression outcomes.

Pillar 1: Early-career access

Score

7.8

/ 20

The company advertises an AI Research Intern role, which is a concrete early-career entry point into the research track.
Memories.ai lists multiple full-time roles (engineering, product, sales, test), but the public careers page does not show experience ranges, so true 0–3 year access is hard to verify role by role.
The company does not show recurring “Junior/Associate” titles, graduate schemes, or a visible intern-to-full-time conversion pathway beyond the single internship listing.

Pillar 2: Hiring fairness and transparency

Score

9.5

/ 20

The company’s careers page is easy to scan for role families and dates, and roles are tagged with function, type, and “Worldwide” location.
Memories.ai relies on a direct email application route on the careers page, but does not publish interview stages, timelines, or assessment expectations.
The company does not publish salary ranges on the careers page, which makes it harder for early-career candidates to judge fairness before investing time.

Pillar 3: Learning and support

Score

10.5

/ 20

The company promises training-style support in the internship pitch, including “founder insights” and internal knowledge sharing.
Memories.ai frames early roles around “true ownership” and high autonomy, which can accelerate learning for the right candidate but can also be risky without explicit guardrails.
The company does not publicly describe onboarding ramps, mentoring time, regular 1:1s, or review cadences that early-career hires can count on.

Pillar 4: Pay fairness and stability

Score

11.8

/ 20

The company states “leading salary, equity, and full benefits” in its careers messaging, which is a positive baseline signal.
Memories.ai publicly markets very high compensation packages for senior researchers in a special hiring program, but this does not translate into transparent bands for junior or entry roles.
The company does not share benefits specifics (healthcare, pension/401k, leave, equipment budgets) in a consistent, comparable way across roles.

Pillar 5: Early-career outcomes

Score

6.2

/ 20

The company reports product traction metrics publicly (for example “10M hours of video analyzed”), but this is not people-outcome data like promotions or retention.
Memories.ai has limited independent employee outcome evidence available publicly (reviews, interview feedback, junior progression stories), which restricts confidence for early-career applicants.
The company’s LinkedIn footprint suggests an early-stage team size band rather than a mature org with visible promotion patterns, and public sources do not yet show repeat early-career cohorts over multiple years.