A digital mandi that clears
faster, fairer, smarter
Connect producers, aggregators and buyers on a single AI-orchestrated auction platform — with computer-vision grading, dynamic price discovery and settlement in one flow.
- Photo-based produce grading with computer vision
- Dynamic price discovery from demand, supply & weather signals
- Multilingual voice agents for low-literacy sellers
- Full audit trail for regulators and cooperatives
Proof, not placeholders — what we deliver in production
Agentic systems shipped to production
Median uptime across live deployments
Governance patterns we deliver against
Experienced talent on every engagement
How we engage
Strategy, build and run — one accountable team.
Every Daiva engagement covers the full arc: honest strategy up front, senior engineering through the build, and measured operation in production. One team, end to end.
Find the right AI bets
- AI readiness assessment across your operations
- Use-case mapping ranked by ROI and difficulty
- An honest go / no-go — including "not yet" when that is the truth
Engineer production systems
- Agentic systems on the open stack (MCP · A2A)
- Evaluation suites and guardrails from day one
- Weekly demos of working software, not status decks
Operate and prove value
- Deployment, monitoring and audit trails
- Your team trained to own and extend it
- Measured outcomes — cost, accuracy, hours saved
The problem we solve
Enterprise AI is stuck in pilot purgatory.
Companies do not fail at AI because the models are weak. They fail on the last mile — integration, evaluation, guardrails, governance. That last mile is all we do.
Pilots that never ship
A demo impressed leadership months ago and still is not touching real workflows. We harden prototypes into systems that survive production traffic, edge cases and audits.
AI that cannot reach your data
A model that cannot read your CRM or write to your ERP is a toy. We build secure MCP integration layers so agents act on your real systems with scoped, logged access.
No governance, no trust
Most agent deployments ship without audit trails or approvals. We design human-in-the-loop, audit logging and evaluation in from day one.
Industries we serve
AI built for your industry
Sector-aware solutions, references and accelerators — so you start with patterns that already work in regulated, high-stakes environments.
Delivery methodology
A six-step framework, de-risked end-to-end
Every Daiva engagement runs on the same disciplined sequence — fixed milestones, clear deliverables, measurable business value at each stage.
- 01
Readiness Audit
Deliverable: Two-week diagnostic of data, workflows and systems.
Business value: Clear go / no-go and ranked ROI opportunities.
- 02
Solution Architecture
Deliverable: Reference architecture, model & integration plan.
Business value: A board-ready blueprint with quantified value case.
- 03
Pilot Development
Deliverable: Working agent or copilot against real data in 4–6 weeks.
Business value: Proof on your workflows, not a sandbox demo.
- 04
Production Hardening
Deliverable: Evaluations, guardrails, audit logging and SRE patterns.
Business value: Safe to ship — survives compliance, scale and edge cases.
- 05
Enterprise Deployment
Deliverable: Rollout into your VPC / on-prem with change management.
Business value: Live in production, integrated with your stack.
- 06
Monitoring & Enablement
Deliverable: Telemetry, retraining and team training for handover.
Business value: Your team owns and extends the system long-term.
Why Daiva
Honest answers to "why trust a specialist?"
Experienced talent on every engagement.
The same experienced team stays with your project from discovery to delivery, ensuring seamless execution and high-quality outcomes.
Specialists, not generalists.
Agentic systems and MCP integration are our entire practice — not one line of forty.
You own everything.
Code, models, infrastructure and IP. No lock-in, no licensing traps, full documentation and handover.
Fixed-scope discovery first.
A two-week paid lead sprint produces an architecture, a roadmap and an honest go / no-go.
India build economics, global standards.
Senior AI engineering delivered with clarity, speed and zero communication overhead.
Technology
Model-agnostic. Production-obsessed.
We pick the right model and stack for your constraints — cost, latency, privacy, compliance — not whatever is trending this quarter.
Models
- Claude
- OpenAI GPT
- Gemini
- Llama (self-hosted)
Open agent stack
- MCP (Linux Foundation)
- A2A Protocol
- AP2 Payments
- LangGraph
- CrewAI
Engineering
- Python
- TypeScript
- Pinecone / pgvector
- MLflow
- HuggingFace
Mobile
- React Native
- Flutter
- Swift (iOS)
- Kotlin (Android)
Cloud
- AWS
- GCP
- Azure
- Docker
- Kubernetes
FAQ
Questions buyers actually ask.
What does an agentic AI development company do?
We build AI systems that plan, reason and execute multi-step work autonomously — connecting to your CRM, ERP, databases and APIs to complete real workflows with human oversight, rather than just answering questions in a chat window.
How long until we are in production?
A typical engagement: a two-week lead sprint, a four-to-six-week build, and two-to-four weeks of hardening. Production in roughly eight to twelve weeks, depending on integration complexity and compliance.
We already have a pilot that stalled. Can you fix it?
That is our most common engagement. Most pilots stall on missing evaluation, guardrails and integrations — not model quality. We audit what exists, keep what works and engineer the path to production.
What does it cost?
Lead sprints are fixed-price. Builds are scoped after the lead sprint so you are never paying for open-ended exploration. We will give you a straight number after the first call — and tell you if AI is not the right investment for your problem.
How do you handle data security and compliance?
Least-privilege access on every agent action, full audit trails, human-in-the-loop approval on critical paths, and deployment inside your cloud (VPC) or on-premise when required. We design for your compliance regime, not around it.
Get a free AI Readiness Assessment
A thirty-minute call and a short written assessment: where AI will (and will not) pay off in your operations, and what production actually takes. No pitch deck, no obligation.
Request your assessment