An agentic Ecosystem for Financial Services

Pinakyne's AI agents are the next-generation banking workforce, seamlessly replacing traditional roles in call centers, credit cards, lending, payments, and remittance—driving efficiency, scalability, and intelligent automation.

Our Agents at a glance

From summarising and generating reports to voice agents and document scanning, Pinakyne AI's agent APIs and plugins for everything.

API Integration Ecosystem

Intelligent data flow orchestration

External Data Sources

CRMs, ERPs, Databases

Data Source
API Gateway

Intelligent API Gateway

Authentication, Rate Limiting, Routing

AI Processing Layer

Data Transformation, Enrichment

AI Processing
Business Logic

Business Applications

Insights Delivery, Automated Actions

Supported Protocols

All Active
REST85%
GraphQL65%
WebSockets75%

Talk to AI Voice Agents

Sales, Debt Collection, and Customer Support agents are ready to help you.

AI Credit initiation & control

Self-learning creditpolicy optimization system

AI Underwriting Agent
Processing
Learning from last 1,000 credit decisions
Adapting policy based on performance data
Default rate trending down 0.3% this week
Credit Score
725
+15 points this month
Approval Rate
82%
+5% from baseline
Default Risk
2.1%
Within target range
Policy Optimization
Analyzing
Current Rule (Too Restrictive)
Decline if: 30+ days past due AND balance > $5,000
Impact: Missing 42% of good customers
Suggested Optimization
Decline if: 45+ days past due AND balance >$7,500
Projected Improvement:
+15% Approval Rate
+0.2% Risk Tolerance
AI Analysis
Historical data shows 89% of customers clear dues within 45 days
Higher balance threshold aligns with current inflation trends
Optimized rule maintains risk within acceptable range
Live Decisions
Active
Customer #8842
Score: 692 | DTI: 44%
Approved
Customer #8843
Score: 645 | DTI: 52%
Declined
Customer #8844
Score: 705 | DTI: 38%
Approved

Document scanning and retrieval

With our blazing fast, state of the art, cutting edge, we are so back cloud servies (read AWS) - you can deploy your model in seconds.

Credit Risk Management Policy

SECTION 1: GENERAL PROVISIONS

1.1 This Credit Risk Management Policy ("Policy") establishes the framework for evaluating and managing credit risk across all lending operations. The Policy aims to maintain a high-quality credit portfolio while ensuring compliance with regulatory requirements and risk appetite limits.

SECTION 2: CREDIT ASSESSMENT CRITERIA

2.1 All credit applications must undergo comprehensive evaluation based on the following criteria:

  • Credit History Assessment
    • - Minimum credit score requirements
    • - Payment delinquency analysis
    • - Length of credit history
  • Financial Capacity Evaluation
    • - Income verification and stability
    • - Debt service coverage ratio
    • - Asset and liability assessment

SECTION 3: RISK MITIGATION

3.1 The following risk mitigation measures must be implemented:

  • Portfolio diversification across sectors
  • Regular stress testing and scenario analysis
  • Continuous monitoring of credit quality indicators

SECTION 4: REGULATORY COMPLIANCE

4.1 All lending activities must comply with applicable regulations, including but not limited to:

  • Capital adequacy requirements
  • Risk-based pricing guidelines
  • Fair lending practices

AI-Powered Risk Analysis Report

EXECUTIVE SUMMARY

The AI system has analyzed the credit policy framework and identified optimization opportunities based on historical performance data and current market conditions.

KEY FINDINGS

  • Policy Effectiveness Analysis:
    • - Current approval rate: 82% (Target: 75-85%)
    • - Default rate: 2.1% (Below industry average)
    • - Risk-adjusted return: 14.3% (Above target)
  • Market Context Integration:
    • - Sector-specific risk trends identified
    • - Macroeconomic indicators incorporated
    • - Competitive landscape analysis
  • Recommended Policy Adjustments:
    • - Increase DTI threshold by 2% for high-score segments
    • - Implement dynamic pricing based on risk profile
    • - Enhanced early warning system for portfolio monitoring

IMPLEMENTATION STRATEGY

The proposed policy adjustments should be implemented in phases:

  • Phase 1: System updates and staff training
  • Phase 2: Pilot program for selected segments
  • Phase 3: Full rollout with monitoring framework

RISK CONSIDERATIONS

The AI system continuously monitors and adjusts for:

  • Market volatility impacts
  • Portfolio concentration risks
  • Regulatory compliance requirements

Our Features at a Glance

Autonomous systems incorporating proactive decision making.

Secure & Compliant

We ensure all our services are secure and compliant with the latest regulations.

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Hi, I need help with making a payment.

Of course! I'd be happy to assist. Could you tell me more about the payment you're trying to make? Is it for a bill, a purchase, or something else?

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It's for a utility bill. I want to pay my electricity bill.

Got it! Are you looking to pay online using your card, through a bank transfer, or another method?

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I'd like to pay using my debit card.

Affirmative, here's your image.

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Continuos Learning

Agents observe, learn, and act based on feedback loops, constantly adapting to shape their behavior for future interactions.

Hi, I’m interested in using Buy Now, Pay Later for my purchase. Can you help me understand how it works?
Absolutely! Buy Now, Pay Later (BNPL) lets you split your purchase into smaller, manageable payments over time, usually with no interest if paid within a specific period. Would you like me to explain how to set it up or go over the terms?
Umm.. Can you explain the terms first?
Of course! Typically, BNPL plans allow you to: Pay in equal installments (e.g., 4 payments every two weeks). Avoid interest or fees if you pay on time. Use it for eligible purchases at participating merchants.
Yes, I’m shopping online for a $200 item.
Got it! Use our BNPL service divided into 4 payments of $50 every two weeks. Your first $50 would be due at checkout, and the remaining three payments would be automatically deducted on the scheduled dates.

Pick your LLM

Pick your LLM, be it opensource or proprietary, we support all of them.

Add LLM

Add

Groq LLM

23rd March

Llama 3

21st March

OpenAI GPT-4o

3rd May

DeepSeek R1

1st April

Claude 200k

2nd June

Voice Agents

Customizable voice agents to help you with your business.

Voice Assistant Active

"Hey, how can I assist you today?"

Deploy in minutes

With our blazing fast, state of the art, cutting edge, we offer cloud based services- you can deploy selected services in your own environment in seconds.

DockerDigital Oceanfile_type_tailwindTailwind CSSFramer MotionRedis Vercel AWS GitHub
DockerDigital Oceanfile_type_tailwindTailwind CSSFramer MotionRedis Vercel AWS GitHub
DockerDigital Oceanfile_type_tailwindTailwind CSSFramer MotionRedis Vercel AWS GitHub

Our Team

Aditi Chatterji

Aditi Chatterji

CEO & Founder

Accomplishments:

  • An experienced A.I. and M.L. Professional with a proven track record of delivering tangible value and robust solutions for business problems across large MNC Banks and Fintech startups.

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