KrisLynx Technologies
We build software that has to work.
Software / AI / Products
Systems engineered for real-world operations, not demonstrations. From Nandyal, India — the makers of EduLynx ERP.
- Select a node to explore that part of the system
- AI. Assistants that answer only from data the user may see.
- Data. One record per organization — every module reads the same truth.
- Products. Software we run ourselves. EduLynx ERP is live.
- Applications. The interfaces staff, schools and customers use every day.
- People. Everything ends with a person who can act on it.
KrisLynx / Workspace
Where software gets built.
What we build
We run what we build.
We start from a real problem — a school that can’t see overdue fees, a team buried in manual reports — and build the smallest reliable system that fixes it. Then we run it.
- SoftwareApplications and APIs people run their work on.
- AIAssistants that answer from an organization’s own data.
- ProductsOur own software, operated in production.
What we engineer
Three systems we build for other organizations.
- 01
Product engineering
Take a product from idea to a version people pay for, then keep improving it.
How we engineer it →01 · Idea Name the user and the problem in one sentence.
02 · Architecture Decide the data model and how parts talk to each other.
03 · UX Prototype the screens people will actually use.
04 · Development Ship in short, reviewable increments.
05 · QA Automated tests plus role-by-role checks.
06 · Production Automated release to monitored infrastructure.
- 02
AI & intelligent systems
Put AI to work on your own data — assistants, automation and analysis that people can trust.
How we engineer it →01 · Data Find the records that answer the question.
02 · Context Resolve who is asking and what they may see.
03 · Models Choose the model that fits the task and cost.
04 · Guardrails Validate answers against sources; refuse outside scope.
05 · Workflow Put the answer where the work happens.
06 · Human decision A person reviews and decides. Always.
- 03
Enterprise software
Secure, role-based systems that run core operations and connect to what you already use.
How we engineer it →01 · Users Who does the work, in which roles.
02 · Permissions What each role may see and change.
03 · Operations The daily workflows, modelled precisely.
04 · Data Find the records that answer the question.
05 · Reports Reporting falls out of the data model.
06 · Administration Settings, audit trail and governance.
AlsoSaaS developmentCustom software developmentCloud & platform engineering
Products
Products, one engineering core.
EduLynx ERP leads. Each product is its own brand, built on the same foundations.
05Flagship product
EduLynx ERP
An intelligent school management platform by KrisLynx.
- Modules
- 12
- Roles
- 4
- AI assistant
- Anthropic Claude
- Pricing
- from ₹35,000
Module
Student management
Profiles, enrolment, academic records, medical and transport details, bulk import, admission-to-graduation lifecycle.
Relationships
Workflow Student management → institution record → Academics · AI operations assistant · Attendance
See the interface →Module
Attendance
Student and staff attendance by class and section, session locking, corrections, leave management and CSV export.
Workflow Attendance → institution record → Academics · AI operations assistant · Reports & analytics
See the interface →Module
Academics
Academic years, terms, classes, sections, subjects, departments, homework, assignments and lesson plans.
Workflow Academics → institution record → AI operations assistant · Attendance · Reports & analytics
See the interface →Module
Examinations
Exams and papers, marks entry and verification, grade scales, branded PDF report cards and exam analysis.
Relationships
Workflow Examinations → institution record → Reports & analytics
See the interface →Module
Timetable
Periods, section and teacher timetables and substitute-teacher assignment.
Relationships
Workflow Timetable → institution record → Academics · Staff & users
See the interface →Module
Communication
Central notifications, WhatsApp bulk reminders, in-app messaging and escalation workflows.
Relationships
Workflow Communication → institution record → AI operations assistant
See the interface →Module
Finance & fees
Fee categories and structures, invoices, collection, receipts, refunds, concessions, ledger and fee reports.
Relationships
Workflow Finance & fees → institution record → AI operations assistant · Reports & analytics
See the interface →Module
Reports & analytics
Operational dashboards, academic, attendance and financial reports with CSV export.
Relationships
Workflow Reports & analytics → institution record → Academics · Attendance · Examinations
See the interface →Module
Staff & users
Users, roles, permissions, bulk invitations and staff records with role-based access.
Relationships
Workflow Staff & users → institution record → Attendance · Security & MFA · Timetable
See the interface →Module
Administration
Institution settings, files, notice board, calendar events and a full audit trail.
Relationships
Workflow Administration → institution record → Security & MFA
See the interface →Foundation
Security & MFA
JWT authentication, TOTP multi-factor authentication, role permissions, security event monitoring and backups.
Relationships
Workflow Security & MFA → institution record → Administration · Staff & users
Intelligence layer
AI operations assistant
Daily briefings, attendance trends, fee-reminder suggestions, at-risk students and class performance insights.
Workflow AI operations assistant → institution record → Academics · Attendance · Communication
See the interface →Inside EduLynx
One school. One record. Every module on it.
Select a module. The interface is illustrative; the capabilities are the product’s published ones.
Student management
MODULE · writes the institution recordIllustrative
Attendance
MODULE · writes the institution recordIllustrative
Academics
MODULE · writes the institution recordIllustrative
Examinations
MODULE · writes the institution recordIllustrative
Finance & fees
MODULE · writes the institution recordIllustrative
Communication
MODULE · writes the institution recordIllustrative
Timetable
MODULE · writes the institution recordIllustrative
Reports & analytics
MODULE · writes the institution recordIllustrative
Staff & users
MODULE · writes the institution recordIllustrative
Administration
MODULE · writes the institution recordIllustrative
AI operations assistant
AI LAYER · reads all modulesIllustrative
FOUNDATION Security & MFA. JWT authentication, TOTP multi-factor authentication, role permissions, security event monitoring and backups.
From product to engineering
From product requirements to working software — the same engineering process we use for every system we build.
How we build itIntelligence
AI with a person at the end of it.
A question travels through context, authorized data, a model and validation — and ends with a human decision.
A principal asks, in plain language: “Which students need attention this week?”
Intent and scope are resolved: at-risk students, this school, this week — and the user’s role decides what they may see.
Only records this user is permitted to read are fetched, live: attendance, recent assessments, fee status.
A language model (Anthropic Claude) receives the question, the permitted records and the school’s own thresholds.
The answer is checked against the source records; every flag must carry the reason it was raised.
A short list with a reason and a suggested next step for each student — no black-box scores.
Staff decide what to do. The assistant suggests; people act, and the audit log records it.
Illustrative example based on the EduLynx AI operations assistant’s published capabilities. No real school data is shown.
Engineering
From idea to production, in eight steps.
Each step ends with something you can review.
Discover
Find the problem worth solving.
Find the problem worth solving.
- Tools & technology
- Problem brief
- Output
- Problem brief
Model
Describe the work as data and rules.
Describe the work as data and rules.
- Tools & technology
- Scoped model
- Output
- Scoped model
Architect
Decide how the system fits together.
Decide how the system fits together.
- Tools & technology
- Architecture + prototype
- Output
- Architecture + prototype
Engineer
Build in short, reviewable increments.
Build in short, reviewable increments.
- Tools & technology
- Working increments
- Output
- Working increments
Integrate
Connect to the systems already in use.
Connect to the systems already in use.
- Tools & technology
- Connected system
- Output
- Connected system
Test
Prove it works before people rely on it.
Prove it works before people rely on it.
- Tools & technology
- Release candidate
- Output
- Release candidate
Deploy
Release to secure, monitored infrastructure.
Release to secure, monitored infrastructure.
- Tools & technology
- Production release
- Output
- Production release
Operate
Run it, measure it, improve it.
Run it, measure it, improve it.
- Tools & technology
- Next-release backlog
- Output
- Next-release backlog
Technology / Infrastructure
Architecture first. Then tools.
Six layers every system we build has, with the technology we actually use in each. Security runs through all of them.
InterfaceApplicationAPI
- Responsibility
- Screens, forms and interactions — accessible and fast on real devices.
- Engineering purpose
- Make the correct action the obvious one.
- Technology we use here
- TypeScript
- React
- Responsive, accessible HTML & CSS
- Tailwind CSS
InterfaceApplicationAPI
- Responsibility
- Rules, workflows, validation and permissions.
- Engineering purpose
- Keep the rules in one place, and tested.
- Technology we use here
- Python
- Flask
- Node.js
ApplicationAPIServices
- Responsibility
- Stable, authenticated contracts between the parts of a system.
- Engineering purpose
- Let each part change without breaking the others.
- Technology we use here
- REST APIs
APIServicesData
- Responsibility
- Background jobs and AI: reports, reminders, assistants.
- Engineering purpose
- Do slow or smart work away from the user's request.
- Technology we use here
- Background workers
- Anthropic Claude & LLM APIs
- Retrieval-augmented generation
- PyTorch
- TensorFlow
- Edge AI
ServicesDataInfrastructure
- Responsibility
- One data model, audited writes, reporting.
- Engineering purpose
- Every module reads the same truth.
- Technology we use here
- PostgreSQL
- Firestore
- CSV & PDF pipelines
- Operational dashboards
DataInfrastructure
- Responsibility
- Hosting, delivery, automated releases and monitoring.
- Engineering purpose
- Releases that are repeatable and uneventful.
- Technology we use here
- Google Cloud / Firebase
- Render
- CDN & static hosting
- GitHub Actions CI/CD
Work
Case files.
What we built and where it stands. No invented results.
All work- PROJECT 01EduLynx ERPThe problemSchools run attendance, fees, examinations and parent communication across registers, spreadsheets and messaging apps.The systemA multi-tenant school management platform with an AI operations assistant, built and operated by KrisLynx.The engineeringModelled the full student lifecycle, from admission to graduation, as the core record every module shares.The resultLive at erp.edulynxerp.in with published pricing and demo requests open.TechnologyMulti-tenant web platform · JWT + TOTP MFA · Role-based access control
- PROJECT 02Trade classification assistantThe problemClassifying goods under the Harmonized System and working out duties and applicable trade agreements is slow, specialist work.The systemAn AI-assisted tool to help businesses classify goods and understand tariffs and trade agreements.The engineeringTreat HS code discovery as decision support: suggest candidate codes with reasoning, and leave the final choice to the user.TechnologyPython · PostgreSQL · AI-assisted search and classification
- PROJECT 03SelfMateThe problemWellbeing apps tend to either collect a lot of personal data or give generic advice.The systemExploring a privacy-first digital twin that helps people understand their routines, stress and wellbeing.The engineeringStart from user-controlled data: the person decides what is collected and can remove it.TechnologyLarge language models · Privacy-preserving data design · Mobile and wearable integration (future scope)
- PROJECT 04FearLinkThe problemIn an emergency, a person may not be able to unlock a phone and call for help.The systemWearable research into detecting acute fear and stress from physiological signals to support personal-safety alerts.The engineeringStudy real-time biometric signals associated with fear and stress responses.TechnologyEmbedded systems · Edge AI · Biometric signal processing
Where we build
Second floor, Sreenivasa Nilayam, Nandyal.
- Company
- KRISLYNX TECHNOLOGIES PRIVATE LIMITED
- CIN
- U62013AP2026PTC128241
- Mission
- Build dependable software, AI and products that organizations can run real work on — and be honest about what they do.
Start something
Build something real.
A senior engineer reads every enquiry and replies within two working days.