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🏆 Hack The Matrix 2026 Sreenidhi Institute of Science & Technology (SNIST), Hyderabad
CONCORD is an AI-powered autonomous contract negotiation platform that enables two parties to negotiate contract terms through intelligent AI agents while preserving each party's confidential negotiation constraints.
Instead of lengthy email chains and manual bargaining, CONCORD allows AI agents to negotiate on behalf of users within predefined boundaries and generate a mutually acceptable agreement for final human approval.
Our goal is simple:
Reduce negotiation time from days to minutes while ensuring transparency, privacy, and trust.
Contract negotiation is one of the slowest phases of any agreement.
Whether it is
- Freelancer ↔ Client
- Employer ↔ Employee
- Vendor ↔ Business
- Tenant ↔ Landlord
the process usually involves
- Endless back-and-forth emails
- Manual revisions
- Delayed decision making
- Expensive legal consultation
- Emotion-driven negotiations
Small businesses and individuals often cannot afford professional negotiators or legal teams.
CONCORD introduces AI-mediated autonomous negotiation.
Each participant is assigned a dedicated AI negotiation agent.
Users privately configure:
- Preferred values
- Walk-away limits
- Priorities
The AI agents negotiate autonomously while keeping confidential constraints hidden from the opposing party.
Only the final agreement is presented for human approval.
- 🤖 Autonomous AI Negotiation
- 🔒 Private Negotiation Constraints
- 📄 PDF/DOCX Contract Upload
- 🧠 AI-powered Contract Understanding
- ⚖️ Multi-Parameter Negotiation
- 💬 Explainable AI Reasoning
- 📊 Live Negotiation Tracking
- 📑 Agreement Generation
- 👤 Human Approval Before Finalization
- 🔍 Complete Negotiation Audit Trail
Upload Contract
│
▼
Document Understanding
│
▼
Configure Private Constraints
│
▼
AI Agent A AI Agent B
↕ Negotiation ↕
│
▼
Agreement Generation
│
▼
Human Approval
│
▼
Final Contract
Each party specifies
- Preferred value
- Walk-away range
- Priority
Example
| Parameter | Party A | Party B |
|---|---|---|
| Hourly Rate | $100 | $140 |
| Delivery | 8 Weeks | 6 Weeks |
| Payment | 15 Days | 7 Days |
These constraints remain private.
The AI only exchanges proposals — never confidential limits.
CONCORD is powered by a Qwen-based negotiation engine enhanced through LoRA (Low-Rank Adaptation) for domain-specific contract negotiation.
Contract
↓
Document Parsing
↓
Constraint Understanding
↓
Qwen Negotiation Agent
↓
LoRA Fine-Tuned Negotiation Reasoning
↓
Proposal Generation
↓
Counter Proposal
↓
Agreement
- Open-source
- Strong reasoning capability
- Excellent instruction following
- Enterprise deployable
- Cost-efficient
- Supports domain-specific fine-tuning
Instead of retraining billions of parameters,
LoRA fine-tunes only lightweight adapter layers.
Benefits include
- Faster training
- Lower GPU requirements
- Reduced deployment cost
- Better specialization for negotiation tasks
- React
- Vite
- TypeScript
- Tailwind CSS
- Framer Motion
- FastAPI
- Python
- Supabase PostgreSQL
- Supabase Auth
- Supabase Storage
- Qwen
- LoRA Fine-Tuning
Users negotiate contract parameters such as
- Hourly Rate
- Budget
- Delivery Timeline
- Payment Terms
- Warranty Period
- Support Duration
- Commission
- Deposit
Each parameter contains
- Preferred Value
- Walk-away Limits
- Priority Level
Each user's negotiation constraints are encrypted and accessible only to their AI negotiation agent.
Neither party can view
- Preferred values
- Walk-away limits
- Priorities
Only negotiated proposals are exchanged.
- Limited negotiations
- Individual users
- Unlimited negotiations
- AI insights
- Contract analytics
- Team collaboration
- Custom AI deployment
- API Integration
- SSO
- Compliance
Organizations can integrate CONCORD into
- HRMS
- ERP
- Procurement Systems
- Vendor Management Platforms
- Freelancers
- Startups
- SMEs
- Legal Firms
- Procurement Teams
- HR Departments
- Real Estate Agencies
- Enterprise Businesses
- Voice-based Negotiation
- Multi-language Negotiation
- Blockchain Audit Trail
- Digital Signatures
- Retrieval-Augmented Generation (RAG)
- Industry-Specific Negotiation Models
- Legal Compliance Checking
- Enterprise On-Premise Deployment
Hack The Matrix 2026
Organized by
Sreenidhi Institute of Science & Technology (SNIST), Hyderabad
- Suhail Akthar S M
- Sathappan T
- Balaji
"We believe AI should not replace human decisions. It should remove the friction that prevents people from reaching agreements."