INVITE-ONLY PRIVATE BETA // EU-CENTRAL & US-WEST CLUSTERS

Deterministic Request Auditing & Latency Profiling for Production AI.

Afforde AI records structured execution traces, validates output schemas in real time, and isolates token-streaming bottlenecks across your inference services—operating out-of-band with zero proxy latency.

Request Private Beta Access POST /v1/traces Read API Reference

< 0.4ms

Async Collector Overhead

100%

Structured Trace Capture

OTLP / HTTP

Wire Protocol Standard

EU & US

Strict Data Residency

afforde-inspector // workspace: eu-central-prod // stream: live

Collector: Healthy (4,820 spans/s) View Schema →

TIME TO FIRST TOKEN (TTFT) -18.4% p95

P50 168ms

P95 390ms

P99 740ms

Prompt Prefix Cache Hit 74.2%

Schema Conformance Rate 99.94%

ACTIVE GUARDRAIL TRIGGERS (LAST 1H)

JSON_SCHEMA_MISMATCH tr_89f2a1c4

CONTEXT_WINDOW_SPIKE tr_77d04e19

PII_TOKEN_SCRUBBED tr_63b18d05

Structured Request Audit Stream Endpoint: https://ingest.affor.de/v1/traces

TRACE ID	SERVICE / PIPELINE	TOKENS (IN/OUT)	TTFT / TOTAL	AUDIT STATE
tr_9041f8a2	invoice-extractor-v3	1,840 / 412	142ms / 690ms	VALIDATED
tr_89f2a1c4	contract-clause-parser	2,310 / 195	218ms / 880ms	SCHEMA_WARN
tr_77d04e19	sql-planner-agent	9,420 / 510	410ms / 1,490ms	PREFIX_TRIM
tr_63b18d05	support-triage-eu	640 / 128	96ms / 340ms	PII_REDACTED

SPAN TIMELINE: tr_9041f8a2 (Total: 690ms) Bottleneck: Token Stream Generation (68%)

Retrieve 96ms

Scrub 68ms

Model Inference 448ms

Schema 78ms

Platform Capabilities

Built for Production Auditability and Predictable Inference Performance

Afforde AI replaces ad-hoc logging scripts and intrusive proxy gateways with a deterministic telemetry pipeline designed for regulated and latency-sensitive workloads.

Immutable Request & Token Ledger

Record every prompt template version, input/output token distribution, and system parameter with SHA-256 hash chaining. Query across millions of historical spans in sub-second response times.

• Client-side PII & credential scrubbing
• Prompt template diffing & attribution
• Parquet export to enterprise object storage

Schema Drift & Anomaly Detection

Validate structured model responses against strict JSON schemas and semantic baselines as spans arrive. Detect malformed tool calls, prompt injection signatures, and upstream timeout spikes immediately.

• RFC 8259 JSON schema verification
• Token entropy & repetition loop scoring
• Webhook dispatches to PagerDuty & Slack

Sub-Span Latency & Cost Profiling

Deconstruct end-to-end execution duration into vector retrieval, prompt assembly, time-to-first-token (TTFT), and token generation phases. Pinpoint redundant context prefixes driving up tail latency.

• TTFT & inter-token latency histograms
• Redundant context prefix detection
• Per-tenant and per-endpoint cost attribution

Non-Blocking Architecture

Zero-Proxy Telemetry Collection

Routing production AI traffic through a third-party proxy introduces network latency and a single point of failure. Afforde AI instruments your runtime directly via an asynchronous ring buffer, emitting compressed batches over HTTPS/OTLP in a background worker thread.

1. In-Memory Sanitization

Sensitive patterns (emails, IBANs, API keys) are redacted inside your process memory before serialization.

2. Out-of-Band Batch Emission

Spans are flushed asynchronously every 500ms or 256 events to ingest.affor.de without blocking application threads.

3. Deterministic Stream Evaluation

Regional collectors index traces into columnar storage and run schema and latency evaluators in real time.

Inspect full REST & OTLP API specification →

worker_instrumentation.py Python SDK v2.4 // OpenTelemetry GenAI

import os
from afforde_telemetry import AffordeClient, SchemaPolicy

# Initialize asynchronous out-of-band telemetry client
afforde = AffordeClient(
    api_key=os.environ["AFFORDE_API_KEY"],
    endpoint="https://ingest.affor.de/v1/traces",
    redact_pii=True,
    flush_interval_ms=500,
)

@afforde.trace_inference(
    pipeline="financial-document-parser",
    schema_policy=SchemaPolicy(strict_json=True, sla_ttft_ms=400),
)
async def parse_statement(raw_document: str) -> dict:
    # Direct call to your model provider — zero proxy hop
    completion = await model_client.generate_content(
        prompt=raw_document,
        response_mime_type="application/json",
        temperature=0.0,
    )
    return completion.to_dict()

Telemetry Dataflow Summary

Application Runtime

Captures span timings & scrubs PII in ring buffer

Ingest Collector

Validates schema & scores token entropy

Columnar Store

Indexes traces for real-time percentile queries

Leadership & Engineering

Built by Distributed Systems & Observability Engineers

Headquartered in Berlin with engineering operations in San Francisco, our team has spent the past decade designing high-throughput telemetry collectors, columnar storage engines, and production developer tools.

Lukas Vance

Co-Founder & CEO

Former Principal Infrastructure Product Lead. 10+ years building high-throughput telemetry pipelines and enterprise APM platforms. M.Sc. in Computer Science, TU Berlin.

Berlin, DE admin@affor.de

Marcus Chen

Co-Founder & CTO

Distributed systems architect specializing in low-latency columnar storage and OpenTelemetry stream processing. Previously led core ingestion systems handling 40B+ daily spans.

San Francisco, US Storage & Ingest

Elena Rostova

Principal Performance Architect

Architects Afforde's online drift evaluators, token entropy analyzers, and sub-millisecond PII redaction engine. Background in runtime compilers and kernel profiling.

Berlin, DE Core Runtime

Jonas Lindqvist

VP of Systems Engineering

Oversees multi-region cluster reliability, Kubernetes infrastructure automation, and enterprise security compliance across European and North American regions.

Berlin, DE Infrastructure

Private Beta Onboarding

Book an Architecture Walkthrough & Request Beta Access

We onboard engineering organizations in weekly cohorts to ensure dedicated solutions architecture support and isolated tenant ingestion capacity. Submit your workload profile below to schedule a 25-minute live technical demo and receive your workspace API credentials.

European Headquarters

Afforde AI GmbH

Lohmühlenstraße 65, 12435 Berlin, Germany

US Engineering Hub

Afforde AI, Inc.

44 Tehama Street, San Francisco, CA 94105, United States

Direct Engineering Contact

admin@affor.de

Private Beta & Technical Demo Booking

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