Guaranteed identical vector outputs on every run, every machine.
AI systems produce inconsistent outputs for identical inputs because vector databases rely on non-deterministic floating-point arithmetic that varies across CPUs and hardware.
DetVector replaces standard vector DB calls with a deterministic compute layer that forces fixed-point arithmetic and seeded operations. Engineers send identical inputs and always receive byte-for-byte identical embeddings and similarity results regardless of CPU or GPU. Full audit logs capture every operation for compliance.
AI engineers and platform teams building reproducible, auditable, or safety-critical systems in finance, healthcare, SRE, multi-agent operations, and AI alignment research.
First and only vector service that mathematically guarantees bitwise reproducibility instead of best-effort consistency.
professional
Returns identical vectors for same input across all hardware
Replaces floating-point ops with deterministic fixed precision
Immutable record of every vector computation and seed
Detects and compensates for CPU/GPU differences automatically
Guarantees identical ranking results on repeated queries
Side-by-side view of expected vs actual outputs
Generates compliance PDFs for audits
Separate deterministic namespaces per team
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| name | text | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| project_id | uuid | No |
| input_hash | text | No |
| vector | text | No |
| seed | text | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| embedding_id | uuid | No |
| hardware_fingerprint | text | No |
| output_hash | text | No |
| created_at | timestamp | No |
Relationships:
/api/embedGenerate deterministic embedding
/api/searchRun reproducible similarity search
/api/auditRetrieve reproducibility logs
1 project
10 projects
Unlimited
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 40 | 12% | $120 | $1,440 |
| Month 6 | 380 | 18% | $1,710 | $20,520 |
Eliminate non-determinism from your AI pipelines with mathematically guaranteed reproducibility
Post in r/MachineLearning and AI Alignment Discord offering free Pro accounts for 30 days to teams working on reproducible research. DM 20 engineers from finance and healthcare AI teams on LinkedIn who have tweeted about non-determinism issues.
Scale and managed service
No reproducibility guarantees
Guaranteed identical results on every run
Proprietary fixed-point arithmetic engine plus growing dataset of hardware-specific compensation rules
Regulatory pressure on AI in finance and healthcare is rising rapidly while existing vector DBs still rely on non-deterministic floating point
Performance overhead from fixed-point math
Benchmark and offer async batch mode
Success: 8+ confirm weekly impact
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