Prompt size at turn 12
44× smallerCrystal footprint vs raw-accumulating at the final turn. Crystal: 1,204 tokens. Raw accumulating: 53,475 tokens — 44× larger and growing every call.
Pharma Regulatory Affairs plan
Regulatory teams need agency memory before product judgment.
Buy a pharma regulatory library built around shared guidance, labeling, safety, and approval-history context before adding authorized product material.
Multi-turn benchmark
One configuration forgot its instructions. One didn't.
Three arms, same model (gpt-4.1-mini), same question set — no context, raw-accumulating, hosted crystal. At turn 12 the crystal sent 1,204 tokens; the raw arm sent 53,475 — 44× more, compounding every call.
Instruction retention
No-context forgotA formatting rule planted at turn 1 was checked deterministically every subsequent turn. No-context broke it 1 time (11 / 12 held). Crystal: 1 / 1 checkable turns held.
Answer quality — 12 turns
No degradation detectedAll three arms produced substantive answers through turn 12 with no meaningful quality decline. The separating factors are prompt size and instruction retention, not raw answer quality.
How this was run. 12 turns, Pharma Regulatory Affairs vertical, gpt-4.1-mini held constant across all three arms. Raw-accumulating arm: source corpus injected at turn 1, then full conversation history re-sent on every subsequent turn — the window grows every call.
Subscription
$9,000/mo for Pharma Regulatory Affairs.
Workspace subscription for regulatory teams that need a shared agency, labeling, and submission reference layer before product-specific material is connected.
Monthly allowance
12,000,000 credits/mo
Up to 36M raw-token-equivalent shared regulatory reference coverage.
Why this can cost less
Raw RAG can inflate every prompt with retrieved text. The crystal keeps shared operating judgment compact and reusable, so teams buy a monthly memory layer instead of repeatedly paying for larger, noisier context windows.
Context crystals
Representative coverage.
Each plan includes protected access to prepared industry memory across the recurring work areas below. Your team sees the benefit in chat while the library's source construction remains private.
Guidance Orientation
A public guidance layer for classifying agency positions, submission expectations, and recurring regulatory concepts.
- Agency guidance topic classification
- Submission expectation checkpoints
- Regulatory concept relationship cues
Labeling and Safety
A labeling and safety reference layer for public conventions, warning language, and communication structure.
- Labeling language consistency review
- Safety communication topic cues
- Risk-benefit framing checkpoints
Approval History
A public approval-reference layer for comparing regulatory chronology, evidence language, and review outcomes.
- Approval-package orientation
- Evidence-summary language comparison
- Review-history chronology cues