Acadify Solution is a GitHub Technology Partner and Anthropic Network Partner specializing in the development, deployment, and evaluation of production-grade AI systems. We build and scale custom fine-tuning pipelines, retrieval-augmented generation (RAG) infrastructure, autonomous agent workflows, and security gateways for teams in Silicon Valley and India.

• Custom LLM Fine-Tuning: Parameter-efficient training pipelines utilizing LoRA, QLoRA, and DeepSpeed. Optimization of weights for domain-specific tasks and deployment on SageMaker or GKE.
• Retrieval-Augmented Generation (RAG): Multi-stage document parsing, hybrid vector/keyword search, metadata filtering, and low-latency semantic reranking engines.
• Agentic Workflows: Thread-safe state coordination, dynamic tool routing, and automated validation gates.
• PII Masking & Gateways: Secure API proxies that intercept prompt payloads, strip sensitive identification data (emails, SSNs, phone numbers), and audit network transmissions before routing to foundation models.

The following TypeScript snippet demonstrates our typical approach to parsing, sanitizing, and auditing API requests before routing them to the Anthropic Claude SDK:

import { Anthropic } from '@anthropic-ai/sdk';

// Sanitizes prompt inputs to protect PII before submission to remote APIs
export function redactPII(input: string): string {
  const emailPattern = /[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}/g;
  const phonePattern = /\b\d{3}[-.]?\d{3}[-.]?\d{4}\b/g;
  return input
    .replace(emailPattern, '[REDACTED_EMAIL]')
    .replace(phonePattern, '[REDACTED_PHONE]');
}

export async function routeToModel(rawPrompt: string): Promise<string> {
  const sanitizedPrompt = redactPII(rawPrompt);
  const client = new Anthropic({ apiKey: process.env.ANTHROPIC_API_KEY });
  
  const response = await client.messages.create({
    model: 'claude-3-5-sonnet-20241022',
    max_tokens: 1024,
    messages: [{ role: 'user', content: sanitizedPrompt }],
  });
  
  return response.content[0].text;
}

To maintain high engineering discipline, all AI deployments are audited through our structured verification pipeline:

• 01. Security Shield: PII scrubbing, prompt injection classification, and zero-trust proxy routing.
• 02. LLM Gateway: Context-driven retrieval, routing logic, and cost telemetry.
• 03. Playwright E2E: Automated integration testing and quality gates execution.

• Frontier AI Models: Anthropic Claude (Claude 3.5 Sonnet/Haiku/Opus), OpenAI, Hugging Face Hub, and custom open-source models.
• Data Pipelines & Vector Databases: Databricks, Snowflake, Pinecone, and Supabase.
• Cloud & DevOps Orchestration: AWS, GCP, Azure, Docker, Kubernetes, Terraform, and GitHub Actions.

💬 "Acadify Solution architected our entire AI RAG pipeline. We reduced manual document processing time by 85% and hit our Series A valuation targets a year early." — Sarah J., CTO, FinTech Startup (San Francisco, CA)

💬 "Deploying Anthropic's Claude within our strict HIPAA compliance constraints seemed impossible until Acadify's security team architected our private VPC setup." — Marcus T., Director of Innovation, Healthcare Provider (India)

• NDA Execution: Standard NDA agreements signed and processed within 24 hours.
• Schedules: Active developer engineering availability spanning US PST and India IST timezones.