Private capital firms hold decades of proprietary data: deal memos, diligence, partner notes, and returns. Yet none of it can be queried.
Request AccessEvaluated on LongMemEval (oracle) across 500 questions spanning six memory task types.
Single-Session
User
(n=70)
Single-Session
Pref.
(n=30)
Knowledge
Update
(n=78)
Temporal
Reasoning
(n=133)
Multi-
Session
(n=133)
Single-Session
Asst.
(n=56)
Temporal Reasoning Dominance
97.0% vs 50.4% (Mem0 Graph) vs 27.1% (Supermemory)
+46.6pp improvement over the nearest competitor. Recallr knows the difference between when something happened and when you mentioned it. So 'last summer' means last summer, not last Tuesday.
Knowledge Update: 97.4%
97.4% vs 76.9% (Mem0) vs 60.3% (Supermemory)
When facts change, old versions are archived, not erased. Your agent always has the latest truth, and the full history of how it got there.
| Strategy | Min | P25 | P50 | P75 | P95 | Max |
|---|---|---|---|---|---|---|
Recallr (Low-Latency) | 0.234s | 0.265s | 0.299s | 0.338s | 0.408s | 0.750s |
Recallr (Balanced) | 1.032s | 1.132s | 1.198s | 1.286s | 1.575s | 3.548s |
Recallr (Agentic) | 5.125s | 6.194s | 6.997s | 7.765s | 8.619s | 20.095s |
Mem0 | 0.489s | 0.504s | 0.786s | 0.967s | 1.787s | 6.171s |
Mem0 (Graph) | 0.697s | 0.746s | 0.961s | 1.987s | 2.692s | 10.458s |
Supermemory | 0.392s | 0.851s | 1.301s | 1.876s | 3.293s | 4.242s |
voice threshold (0.3s)
chat threshold (1.5s)
<400ms
Real-time voice and chat — answer before the user finishes thinking.
~1.5s
General production workloads — thorough retrieval without perceptible delay.
~8s
Deep reasoning over months of memory — when completeness matters more than speed.
Which deals did we pass on in, say, defense, and why?
LOST REASONING
What did our diligence miss on the deals that underperformed?
UNEXAMINED PATTERNS
Which companies, in the portfolio or the pipeline, share the same concentration risk?
HIDDEN EXPOSURE
Recallr structures a firm’s internal data into a single model of how it operates. Questions that took days now return complete, consistent answers in seconds, and every AI tool or agent the firm uses draws on the same model, built once.
Across private markets, the most expensive mistakes trace back to context that existed inside the firm, but couldn’t be found in time.
FAMILY OFFICES
$1.2B
in duplicated diligence and missed cross-portfolio signals each year, work redone because prior findings were never searchable. (illustrative)
PRIVATE EQUITY
38%
of underperforming deals showed risks the firm had already flagged on a prior deal, but never connected. (illustrative)
VENTURE FUNDS
1,400 hrs
per analyst, per year, lost to re-reading documents and rebuilding context that the firm already owned. (illustrative)
