🚀 ACCS Labs

Deterministic AI Context Compression

🙌 Compress Context. Lock Constraints. Quantify Risk.

Dual-LLM audit ensures zero hallucination output.

Zero-hallucination fallback guaranteed if validation fails.

🌟Build AI That Never Hallucinates Numbers

ACCS preserves every numeric value and critical constraint.

Constraint-preserving compression with deterministic validation.

🚀 ACCS Labs – Deterministic AI Context Compression

Build AI That Never Hallucinates Numbers

📝 Compress Context. Lock Constraints. Quantify Risk. Eliminate Hallucinations.

ACCS v5 (Agentic Context Compression System) ensures your AI workflows are deterministic, auditable, and safe. Trusted by AI engineers, fintech teams, research labs, and enterprise compliance groups.

⚡ Start Compression

🖥️ Run Live Demo

📞 Book Enterprise Consultation

⚠️ Why Most AI Prompts Fail

Large language models are powerful but prone to subtle errors with numeric thresholds, SLAs, and compliance rules. Common issues include:

❌ Numeric thresholds changing unexpectedly

⏱️ Units drifting (e.g., milliseconds → seconds)

📉 Critical rules being dropped

🤥 Fabricated or hallucinated numbers

ACCS solves this problem with constraint-preserving compression and deterministic validation.

🛠️ What is ACCS v5?

ACCS is not a summarizer. It is constraint-preserving compression middleware for LLMs, ensuring numeric values, SLAs, and compliance constraints survive compression intact.

Key Capabilities:

🔍 Regex-based constraint extraction

🗂️ Constraint DSL mapping for structured verification

✂️ Context deduplication to reduce token usage

✅ Deterministic validation gates to catch errors

🧠 Dual-LLM audit for semantic integrity

🔒 Zero-hallucination fallback if validation fails

⚡ How ACCS Works

1️⃣ Constraint Extraction
Extracts numeric thresholds, SLAs, compliance keywords, and unit-bound values. All constraints are traceable to their source.

2️⃣ DSL Mapping
Constraints are converted into a typed Constraint DSL. Values that cannot be verified are marked as needs_clarification — never guessed.

3️⃣ Context Deduplication
Removes redundant sentences while preserving critical constraint spans. Optimizes token usage without losing important information.

4️⃣ Prompt Composition
Two output modes:

📝 Operator Mode: Flowing, human-readable sentences
📊 Spec Mode: Deterministic, machine-readable output with zero hallucination risk

5️⃣ Validation Gate
Checks all outputs for missing or duplicated constraints, unit drift, and fabricated numbers. Fallback ensures zero hallucination if validation fails.

6️⃣ Dual-LLM Audit
A separate auditor LLM verifies semantic accuracy. Risk is always computed deterministically, never null.

✅ Key Guarantees

❌ No hallucinated numbers: Every numeric token is traced to the original input or Constraint DSL
🔁 No duplicated constraints: Canonical matching prevents repeated values
📊 Risk is never null: Deterministic risk computed if auditor fails or times out
🛡️ Deterministic fallback: Fallback to compiled prompt if validation fails twice
⏳ Unit drift detection: Values are verified against expected units and timeframes

💡 Why Not Just Summarize?

Traditional summarizers prioritize brevity over integrity:

❌ Drop numeric thresholds silently

📝 Remove SLA or compliance requirements

⏱️ Alter units or timeframes

⚖️ Strengthen or weaken constraints accidentally

🤥 Introduce fabricated numbers

ACCS preserves every numeric value and critical constraint, detects unit drift, enforces deterministic validation, and provides a dual-LLM verified risk score.

🌐 ACCS API & Pipeline

Endpoint: POST /api/optimize

Request Example:
curl -X POST https://api.accs.dev/optimize
-H "Authorization: Bearer YOUR_API_KEY"
-H "Content-Type: application/json"
-d '{ "text": "Your context here with constraints, SLAs, numbers...", "mode": "operator" }'

Request Fields:

text: Source context including constraints, SLAs, numbers

mode: "operator" (readable) or "spec" (compiled)

Response Includes:

📌 optimized_prompt: LLM-ready compressed prompt

📊 compiled_prompt: Deterministic output from Constraint DSL

🗂️ constraint_spec: Structured source of truth

✅ validation: Pass/fail, integrity score, specific errors

⚠️ risk: 0–1 score, deterministically calculated if auditor fails

✂️ tokens: Original vs compressed token counts

📝 Output Modes

📝 Operator Mode: Human-readable sentences with constraints embedded naturally

📊 Spec Mode: Deterministic, machine-readable output with zero hallucination risk

💼 Use Cases

🤖 AI Agents: Multi-step reasoning with large histories

💰 Fintech: Risk limits, transactions, interest rates guaranteed

📜 Compliance: Regulatory constraints preserved

🏗️ Engineering: SLA thresholds, monitoring rules maintained

💰 Enterprise & Pricing

🎁 Free Trial: 5 compression runs to test the pipeline

🏢 Custom Plans: Volume-based pricing for startups and teams

🛡️ Enterprise: On-premise, SOC2 compliant, SLA-backed, custom pipelines

📧 Contact for Pricing: vc.ai.consultancy@gmail.com (response ~10 minutes)

🏢 About ACCS Labs

ACCS Labs builds trust infrastructure for AI systems. Our mission is to make AI deterministic, auditable, and safe.

ACCS v5 provides:

🔒 Constraint-preserving compression

✅ Deterministic validation

🧠 Dual-LLM auditing

🛡️ Zero-hallucination fallback

Visit us at https://gomysite.com/accslabs

📞 Contact Us

Have questions, need a custom solution, or want enterprise support? Get in touch today!

📧 Email: vc.ai.consultancy@gmail.com
⏱️ Response Time: Typically within 10 minutes during business hours

We’re happy to discuss:

⚡ Custom pipelines

🏢 On-premise deployments

🛡️ Enterprise pricing and SLA guarantees

🤝 Connect With Us