Underwriting
Case assembly, requirement management, bureau and score inputs, straight-through processing and NSTP referral paths.
About SolTech
We build the technology that runs insurance operations.
SolTech InfoLabs was founded to solve complex operational technology problems. Over time that work concentrated on one industry, because insurance is where operational complexity, transaction volume and regulatory weight meet.
Who we are
An insurance technology company with its own platforms.
SolTech is not a general software services vendor that happens to have insurance clients. We build and own six enterprise platforms for insurance operations, and we run an engineering practice that can integrate them into estates that were never designed for them.
The products are where we invest. The engineering is how they reach production.
- Entity
SolTech InfoLabs Private Limited - Based in
Hyderabad, Telangana, India - Focus
Insurance technology platforms and enterprise engineering - Works with
Life insurance organisations - Platforms
InstaDocs, PayLifPro, EzBilling One, SuTra, SolServ Studio, Insight Underwrite, DocSense
Our approach
Understand the process before writing the platform.
Five steps, in this order. Skipping the first one is how enterprise software ends up technically correct and operationally useless.
Understand the process
How the work actually moves today — including the spreadsheets, the informal handoffs and the exceptions people have stopped mentioning because they have become normal.
Simplify the workflow
Remove the steps that exist only because a system could not do something. Automating a bad process faithfully just produces a faster bad process.
Engineer the platform
Build it properly: API-first, configurable where the business will need to change it, and sized for the volumes it will actually see.
Integrate the ecosystem
Connect it to policy administration, CRM, document systems, data platforms, banks and payment providers — without asking the insurer to replace them.
Automate the operation
Move volume to straight-through processing and leave people with the cases that genuinely need judgement.
Insurance expertise
We speak the operation, not just the technology.
Domain knowledge shows up in the details — the vocabulary in the data model, the edge cases anticipated, the questions asked in the first workshop.
Document operations
Index classes, metadata models, high-volume ingestion and migration of archives that have accumulated for decades.
Premium collections
Mandate lifecycles, presentment windows, provider status codes, retry practice and reconciliation breaks.
Payouts and benefits
Eligibility validation, maker-checker control, voucher processing and the evidence auditors will ask for.
Policy servicing
Work queues, role-based routing, approval hierarchies, SLA management and exception handling.
Business rules
Eligibility, validation and routing logic expressed as governed, effective-dated configuration rather than code.
Engineering culture
Conventional technology, applied carefully.
Insurance platforms are judged on correctness, throughput and how long they keep running. We optimise for those, not for novelty.
Boring where it counts
.NET, C#, SQL Server, REST. A stack our clients' own teams can hire for, review and maintain long after we have handed over.
Configuration over code
Anything the business will want to change becomes configuration. That decision is why SuTra exists as a product rather than a library.
Volume assumed, not discovered
Scheduled processing, batch runs and very large repositories are design inputs from the first architecture conversation.
Auditability as a default
If a regulated process cannot explain itself afterwards, it is not finished.
Validated by someone else
Every release goes through vulnerability assessment and penetration testing, and secure code review, by a CERT-In empanelled auditor — not just the first one. We would rather find a problem in an audit than in production.
How we work
Small teams, close to the operation.
One team, requirement to production
The people who sit in the process workshops are the people who build it. Context is not handed across a boundary and diluted.
Architecture before implementation
Integration points, data ownership, failure behaviour and volumes are settled before code, because they are expensive to change afterwards.
Delivered in usable increments
Operations teams see working software early and often, so the process we understood is the process we built.
We stay after go-live
Support and iteration are part of the engagement. Operational platforms are never finished on the day they launch.
Engineering services
Engineering beyond the platform.
Our platforms rarely arrive into an empty estate. The same engineering practice is available for the systems around them — and the ones that came before.
Enterprise application development
Line-of-business applications built to the same standards as our products.
Insurance system integration
Connecting policy administration, CRM, document, payment and data platforms.
Software architecture
Solution and integration architecture for high-volume operational systems.
Legacy modernisation
Moving operational systems off ageing platforms without stopping the operation.
API engineering
The service layer that lets enterprise systems talk to each other.
Data and document migration
High-volume migration with reconciliation that proves nothing was lost.
Application support
Ongoing support for production systems operations teams depend on daily.
Cloud and infrastructure enablement
Cloud-ready and on-premise deployment architectures for enterprise workloads.
Let's talk about the operation, first.
The most useful first conversation is usually a walkthrough of one process that is not working. Everything else follows from that.