Problems This Solves
Generative AI prototypes performing well on 10 demo queries but failing catastrophically in front of real customers with fabricated facts and incorrect policy citations.
Fear of prompt injection attacks, jailbreaks, and indirect injection through poisoned documents that bypass security filters and expose private backend instructions.
Upgrading foundation models (e.g. from GPT-4 to GPT-4o, or Claude 3 to 3.5) causing silent regressions where previously working prompts and tool calls fail.
Zero visibility into real-world production performance: blind spots on token expenditure, p95 latency spikes, and ungrounded response rates.
Our Proven Process
Golden Dataset Synthesis & Curation
We assemble a representative test benchmark of 100–500 real-world customer queries, tricky edge cases, multi-hop reasoning questions, and adversarial attack vectors.
Retrieval Pipeline Benchmarking (Context Precision & Recall)
Evaluating your semantic search and chunking quality to verify whether the exact ground-truth passages are consistently retrieved in the top-k results.
Generation Faithfulness & Hallucination Scoring
Measuring mathematical claim-level groundedness to ensure the LLM's response contains only facts supported directly by retrieved evidence, penalizing unsupported extrapolation.
Adversarial Stress Testing & Prompt Injection Probing
Subjecting the system to DAN jailbreaks, system-prompt extraction payloads, delimiter hijacking, and poisoned document inputs to test guardrail effectiveness.
CI/CD Regression Gate & Observability Integration
Embedding evaluation suites into GitHub Actions or GitLab CI, establishing quality score thresholds that prevent regressions from reaching production.
Golden Dataset Synthesis & Curation
We assemble a representative test benchmark of 100–500 real-world customer queries, tricky edge cases, multi-hop reasoning questions, and adversarial attack vectors.
Retrieval Pipeline Benchmarking (Context Precision & Recall)
Evaluating your semantic search and chunking quality to verify whether the exact ground-truth passages are consistently retrieved in the top-k results.
Generation Faithfulness & Hallucination Scoring
Measuring mathematical claim-level groundedness to ensure the LLM's response contains only facts supported directly by retrieved evidence, penalizing unsupported extrapolation.
Adversarial Stress Testing & Prompt Injection Probing
Subjecting the system to DAN jailbreaks, system-prompt extraction payloads, delimiter hijacking, and poisoned document inputs to test guardrail effectiveness.
CI/CD Regression Gate & Observability Integration
Embedding evaluation suites into GitHub Actions or GitLab CI, establishing quality score thresholds that prevent regressions from reaching production.
What's Included
Expected Results
Production-ready deployment with comprehensive automated test coverage
Deterministic latency and enterprise data privacy SLA guarantees
Full source code ownership with zero vendor lock-in
Dedicated post-launch engineering support and performance telemetry
Comprehensive Capabilities & Use Cases
We don't just scratch the surface. Here is a detailed breakdown of everything we can engineer, optimize, and execute for your business.
Customer Support Chatbot Accuracy Certification
Benchmarking 300+ support dialogues to certify that resolution instructions match official knowledge base policies with <2% hallucination frequency.
Healthcare Diagnostic Assistant Safety Validation
Strict boundary testing ensuring medical summarization tools never prescribe unverified treatments or cite outdated medical journals.
Financial Report Extraction Sanity Audits
Verifying that numbers, fiscal quarters, and revenue tables extracted from 10-K SEC filings are 100% faithful to the source PDFs.
Enterprise Agent Tool-Calling Reliability Checks
Testing whether autonomous function-calling agents correctly formulate arguments, handle parameter errors, and respect authorization boundaries.
Production Use Cases
How leading enterprises deploy our engineering architectures to solve critical operational bottlenecks.
Customer Support Chatbot Accuracy Certification
Benchmarking 300+ support dialogues to certify that resolution instructions match official knowledge base policies with <2% hallucination frequency.
Healthcare Diagnostic Assistant Safety Validation
Strict boundary testing ensuring medical summarization tools never prescribe unverified treatments or cite outdated medical journals.
Financial Report Extraction Sanity Audits
Verifying that numbers, fiscal quarters, and revenue tables extracted from 10-K SEC filings are 100% faithful to the source PDFs.
Enterprise Agent Tool-Calling Reliability Checks
Testing whether autonomous function-calling agents correctly formulate arguments, handle parameter errors, and respect authorization boundaries.
Specialized Services
Explore our specialized engineering teams and tailored solutions for this domain.
RAG & Vector Databases
High-performance semantic retrieval pipelines using pgvector, Qdrant, and hybrid BM25 search.
Private AI Solutions
Air-gapped on-premise and private VPC LLM deployments with zero data retention.
AI Agent Development
Autonomous multi-agent systems built with CrewAI, LangGraph, and strict human approval controls.
AI Readiness & Consulting
Strategic infrastructure audits, feasibility assessments, and architecture roadmaps.
Why Choose Us
No Long-Term Contracts
Month-to-month engagements. We earn your business every single month.
Dedicated Team
A named strategist, not a rotating cast of juniors. Consistent point of contact.
Revenue-Focused
We report on revenue impact, not vanity metrics. Every dollar is attributed.
Rapid Execution
Strategy in week 1. Execution by week 2. Results tracked from day one.
Frequently Asked Questions
Ready to Get Started?
Start with a free audit. We'll analyze your current performance and show you exactly where the growth opportunities are.
Direct Engineering Desk: [email protected]