01AI Platform Engineering
AI-native SaaS platforms engineered for your organisation: multi-tenant, governed, metered.
Who We Are
Solonomous is an artificial intelligence and technology company founded with a vision to build the autonomous future for humanity.
The company operates across two core business verticals: proprietary AI-powered SaaS platforms and enterprise AI engineering solutions. Solonomous develops innovative, AI-native software platforms designed to automate business processes, enhance productivity, and enable intelligent digital operations. Its flagship product, WebAlly AI, is an autonomous digital business platform being developed to integrate AI-powered website creation, SEO, content management, CRM, and digital marketing automation. The company specializes in Generative AI, Machine Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), custom AI model development, and autonomous AI agents.
Through its Forward-Deployed Engineering (FDE) model, Solonomous collaborates directly with enterprises to design, develop, integrate, and deploy customized AI solutions into existing business systems. Its engineering capabilities address both task-specific AI automation and enterprise-wide digital transformation through coordinated autonomous systems. Solonomous focuses on proprietary technology development, scalable AI architectures, research-driven innovation, and commercially viable AI solutions across multiple industries. The company's long-term mission is to develop globally scalable autonomous platforms, accelerate enterprise AI adoption, generate skilled employment opportunities, and contribute to India's growing artificial intelligence ecosystem.
About Solonomous
Solonomous is an AI engineering company. We build AI agents, workflow automation and AI-native software, then deploy them inside your business through forward-deployed engineering: our engineers work with your teams, in your systems and on your data, from the first scope to production. Each autonomous agent does defined work and stops at the checkpoints you set, so your people decide the exceptions. The agents and the code stay with you.
One team carries the work from scope to production. The engineers who design and build your custom AI agents connect them to your systems of record, test them against the measures you agree, roll them out under your security and approval rules, and complete the operational handover so your team can run them.
Forward-Deployed Engineering
One autonomous solution, or a programme across departments.
Forward-deployed engineering means our engineers work with your teams, inside your systems and on your data, on site, remote or hybrid as the work needs, until a defined piece of work runs in production. It comes at two scales.
Three ways to work with us
01AI-native SaaS platforms engineered for your organisation: multi-tenant, governed, metered.
02We engineer and deploy autonomous AI solutions within organizations, from individual workflows to enterprise-wide transformation.
03We scope, build and hand over enterprise AI capabilities, such as RAG pipelines, LLM fine-tuning, custom AI models and agents, without an embedded team.
Shared technical foundation: Generative AI, Agentic AI, Autonomous Systems, AI Engineering, Infrastructure, Integrations and Platform Engineering
Core Engineering Expertise
From model development and intelligent agents to secure, scalable SaaS platforms, our engineering covers the complete system required to bring AI into production.
Models
Not every problem needs the biggest model. Most need the right one, measured against the work it has to do.
A small classifier or extractor trained for one task.
An open model fine-tuned on your data and served by you.
A commercial model, grounded in your records and guarded.
Training a new model from scratch. Rarely worth it; we'll tell you if your problem is the exception.
Frontier
From Model to Platform
Engineering dependable autonomy requires more than a model endpoint. We architect the data, intelligence, runtimes, integrations, controls and product infrastructure that allow complex AI systems to operate in real environments.
Evaluation · Security · Governance · Observability

Your data never leaves your perimeter. Fine-tuned models on your corpus, retrieval that cites its sources, and evaluation harnesses that keep every release honest — at the pace your board expects.

You can see the motion. You can describe the task. Single-model stacks can't ship it. Train vision-language-action policies in simulation and deploy them to the floor with the same toolchain.

Frontier compute without the frontier headcount. Pretrain, distill and benchmark on managed clusters, with every run versioned, every dataset lineaged, every result reproducible.

From prototype to production in a sprint. Agentic backends, vector search and tool calling wired to your product, metered and observable from the first request.

Sovereign deployments with full audit trails. Multilingual assistants, accessible interfaces and document intelligence for citizens — compliant by default, transparent by design.
Industries
Industries where the work is, and what Solonomous automates in each: manufacturing, logistics, healthcare, financial services, real estate, education, staffing and retail.
AI Models & Applied Intelligence
We work across model selection, customization and deployment to build intelligence suited to real tasks. Depending on the problem, that can mean enterprise RAG, specialized models, fine-tuning and post-training, multimodal pipelines, efficient inference or purpose-built model architectures.
AI SaaS and Proprietary Products
Custom AI SaaS/platform engineering: multi-tenant applications, enterprise integrations, secure AI runtimes, APIs/SDKs and complex product architecture.
WebAlly AI · an AI-native website platform · under active development
Forward-Deployed Engineering
We work directly with teams, repositories and technical environments to take AI systems from requirements through architecture, integration, evaluation, rollout and operational handover. Our forward-deployed approach brings engineering close to the actual constraints of each deployment.
Forward-Deployed Engineering
Ways in
Industries
Reliability, Safety & Operations
01
Every system ships with the test set it is measured against, before it is trusted with real work.
02
Each agent holds the least privilege its task needs, and nothing more.
03
Tools expose narrow, typed operations behind authentication, not open shells.
04
Inputs, decisions, tool calls and outputs are logged so any outcome can be reconstructed.
05
Payments, deletions, external messages and policy changes wait for a person.
06
Development, evaluation and production run apart, with separate credentials and data.
07
Latency, cost, failure modes and drift are measured in production, not reconstructed after an incident.
08
Failures roll back or resume from checkpoints, and the team that inherits the system gets the runbook.

Built like infrastructure
Engineering principles we build to, not certifications.