Silverline builds agentic pipelines, modernises financial-services technology, advises on AI adoption and engineers the data foundations beneath all three. Every engagement is scoped in writing, delivered with an evaluation harness, and handed over with a runbook your own teams can operate.
ServicesMost enterprise AI programmes stall on data, governance or operations rather than on models. Our practices are organised so that the advisory work, the engineering work and the operating work are done by people who sit together and answer to the same delivery lead.
Custom, bespoke orchestration of LLM agents, tools and business rules with checkpoints, human approval and a replayable audit trail.
Explore the practicePayments and UPI-era architectures, credit decisioning, RBI and SEBI regulatory automation, core-system modernisation and fraud analytics.
Explore the practiceReadiness assessment, use-case portfolio and ROI framing, responsible-AI governance, model-agnostic platform selection and change management.
Explore the practiceLakehouse and warehouse builds, streaming pipelines, data quality and lineage, retrieval infrastructure for agents, and observability.
Explore the practiceThe same four stages apply whether the engagement is a single reconciliation agent or a multi-year modernisation. Each stage ends with a written artefact that your steering committee can approve, defer or reject.
We interview process owners, map the current workflow end to end, quantify volumes and exception rates, and inspect the source systems and data you actually have. The output is a discovery memo with a recommended scope, a risk register and a go/no-go recommendation.
We design the target architecture, define typed contracts for every tool an agent may call, and close the data gaps that would otherwise surface late. Where data residency, access control or retention rules apply, they are documented here, not discovered in production.
Engineering proceeds against an evaluation suite written before the first line of agent logic. Release candidates must clear accuracy, safety and cost thresholds on held-out cases; regressions block the release, not the calendar.
After hand-over we can operate the pipeline under a service agreement with named engineers, monthly eval re-runs, drift monitoring and a change-control process, or transfer it fully to your team with the runbook and training to match.
Clients in regulated sectors need a supplier whose own governance can withstand scrutiny. Silverline is a listed company with three decades of delivery history and an R&D agenda focused on a small number of sectors where reliability matters more than novelty.
Silverline Technologies is listed on BSE (scrip 500389) and publishes its financial results, board composition and policies under SEBI's Listing Regulations. Our engagement paperwork, change control and audit trail meet the same standard we are held to as a public company.
Incorporated in Mumbai in 1992, Silverline has delivered enterprise software through several technology cycles, including a period of SEI CMM Level 4 appraisal. Long-running programmes are familiar territory, not a new offering.
In 2000 Silverline became the first Indian company to list on the New York Stock Exchange. That experience of cross-border disclosure and investor accountability still shapes how we document, report and govern client work.
Pipelines can be deployed inside your own cloud tenancy or data centre in India, with model inference routed to in-country endpoints where required. Residency, retention and access decisions are recorded in the architecture document before build begins.
Our 2026 AI R&D programme concentrates on three domains: cyber-threat detection, supply-chain resilience, and energy and grid optimisation. Client engagements in these sectors draw directly on that research and the Silver AI agent platform.
Silver AI, our enterprise agent platform launched in February 2026, is built by the same engineers who deliver client pipelines. Clients can adopt the platform, commission bespoke work on top of it, or use our services with tooling they already own.
We concentrate on industries with regulatory obligations, high transaction volumes and a low tolerance for unexplained outcomes. See the industries page for representative agent use-cases in each.
Three weeks, a written memo and a clear recommendation. If the case does not hold, we will say so.