AI · Enterprise software · Cloud engineering
We design, build and operate AI systems, enterprise software and cloud platforms for Indian enterprises, GCCs and exporters that answer to Indian and European rules, and we connect them to the ERP, CRM and core systems you run today.
A grid of nine nodes, three by three, joined by one line that traces the FromNine mark. The line starts at business requirements and passes models, software, cloud and operations before it ends in a single system in daily use.
01 Capacity and principles
We concentrate on AI, cloud and current engineering practice, with the bench strength of a large firm behind it. A multidisciplinary programme can be staffed in full, and the people who design your system stay with it through rollout and into daily operation.
2,400+engineers, architects and consultants across AI, software, cloud, data and enterprise platforms.
600+projects for European public administrations, finished or still running, all of them for public bodies in EU Member States.
400+projects for private companies
Government & public sectorFitted to the systems you run
We work with the ERP, CRM, data platforms and processes already in place, and replace a component only when there is a clear case for it.
Easy to maintain for years
Every release is tested, documented and handed over, so your own team or your GCC can still change it long after go-live.
Maker-checker where it counts
Steps with real consequences wait for an authorised person, and each automated action is logged for later review by audit or compliance.
and many public bodies in EU Member States
02 Services
An AI feature is only as dependable as what surrounds it: software people choose to use, data that can be trusted, integrations that do not break and a platform that stays up. We take responsibility for all of these together, so the system behaves as one and a single team is accountable for it.
Generative AI for production use: answers drawn from your own documents, tested before release and monitored once live, with the India AI Governance Guidelines and the EU AI Act in view.
Agents that work inside the permissions you set, with maker-checker approval before any step that matters.
Trusted, governed data for reporting and AI, with DPDP purpose limits built in.
Customer portals, internal tools and SaaS products that remain simple to change.
Cloud foundations with routine releases, clear costs and logs kept as CERT-In directs.
Reliable data exchange between systems, from the ERP to the GST Invoice Registration Portal.
Sound technical choices before big commitments: options, trade-offs and a roadmap your board can approve.
03 Solutions
Begin with the business problem, not the model. Each illustration below follows one structure: today’s bottleneck, the system we could build, the gain worth measuring and the point where an authorised person decides.
04 Government and public sector
600+projects for European public administrations, finished or still running, in EU Member States.
Public administrations expect systems that are accessible, secure, explainable and maintained well beyond one contract. Our European public work taught us to deliver inside procurement rules, several official languages and strict data protection law.
For Central Government ministries, State departments and PSUs that build on Aadhaar-based authentication, DigiLocker or API Setu, the same habits carry over: recorded decisions, an officer who approves, and AI designed with the India AI Governance Guidelines in view.
A dot map of Europe: the 27 EU Member States in full colour, the rest of the continent in a paler shade, with markers for Antwerp and Ghent.
05 Enterprise platforms
For many Indian enterprises and business groups, customer, finance and supply chain records sit in Salesforce, SAP or Odoo. We implement, extend and integrate these platforms, then connect AI to them with proper access rights, so automation runs inside the processes your teams already follow.
Summit Partner
Our work
Where AI helps
Case handling with draft replies that service staff check before sending, and consent recorded for the DPDP Act
Gold Partner
Our work
Where AI helps
GST invoices and other documents read into SAP processes, with exceptions sent to staff
Gold Partner
Our work
Where AI helps
Routine back-office steps automated on Odoo data
The names Salesforce, SAP and Odoo are trademarks belonging to their owners.
06 Engineering detail
The model is a single component. The integrations, access rights, testing, maker-checker steps and operations around it decide whether it still works at month-end close, under real volumes. That is where AI programmes succeed or slowly lose the trust of their users.
AI is worth only what it can read from and write to. We design the integrations first: field mapping, retries, duplicate protection and errors your staff can see.
The system returns only what the person asking is entitled to see. Access rights are applied in the retrieval layer itself rather than through instructions in a prompt.
Answers and actions are measured against agreed thresholds before and after each release. Any action with real consequences waits for an authorised person, as in a maker-checker control.
Infrastructure in code, separate test and production stages, and monitoring of quality, response time and cost, so the system can be operated, audited and improved after go-live.
Six layers are shown. From the top: agents and the workflow engine, with a checker approval step before any action with consequences; models and testing; data and search; the integration layer; and the business systems that hold the records, such as CRM, ERP, case management and document repositories. A cloud platform with monitoring sits beneath all of them.
Access control spans every layer vertically, so identity, roles and an audit trail apply at each step. A request starts at the top and travels down through each layer to the business systems.
Four notes: integrations before prompts (integration layer and business systems); search that follows access rights (data and search, access control); testing and checker steps (models and agents); run, not just deployed (cloud platform and monitoring).
07 Delivery model
Four stages, and each closes with a deliverable you can review and retain. Progress is visible throughout, and what we build belongs to you.
We study the business problem, the stakeholders and the systems in place, then agree which requirement to address first.
DeliverableProblem statement
We select an architecture, fix the success measures and plan a first release small enough to go live quickly.
DeliverableArchitecture and agreed measures
We deliver in short, tested increments that your users can see, try and question.
DeliverableTested, working software
We hand the system over or operate it ourselves, monitor it in production and keep improving it with you.
DeliverableOperating plan and handover
Lessons from daily operation shape the next round of work.
08 Trust and data protection
Responsible AI is engineering work, not a policy on paper. Four layers of control surround every system we build, with your data and your decisions in the middle.
Where your data is stored and processed is agreed before we build and written into the contract, so it can be checked against the DPDP Act, any stricter sectoral rule and, for your European entities, the GDPR.
Our information security management system holds ISO/IEC 27001 certification. Least-privilege access, threat modelling and secure coding are standard from the design stage, and incident processes can be set up for CERT-In’s six-hour reporting.
Risk review, documentation, audit logs and decision records, designed with the India AI Governance Guidelines, the DPDP Act and, where your AI reaches the EU, the EU AI Act in view, so you can show who decided what and why.
Approval steps, escalation and the power to override wherever an automated decision has real consequences for customers, citizens or staff.
Your data, your decisions
Credentials
The systems we build are designed for the DPDP Act, CERT-In reporting and, for EU business, the GDPR and the EU AI Act.
Security and data handling09 For India
FromNine has no office in India. The people who would work with you are based in Antwerp, Ghent and Amsterdam. We hold the first conversation in English and agree the working language of the project at the start. For your companies in Europe, our teams also work in Dutch, French, German, Spanish and Italian.
The agenda for Indian organisations is set by dates. The DPDP Rules phase in from November 2025, with Consent Manager registration from November 2026 and the Data Fiduciary duties from May 2027. CERT-In’s six-hour incident reporting has applied since 2022, GST e-invoicing runs through the IRP, and EU rules such as the EU AI Act and the GDPR reach Indian firms that serve customers in the Union.
Our public-sector experience is European: 600+ projects for European public administrations, completed and continuing, for public bodies in EU Member States. For an Indian public-sector reader it stands for habits rather than references: audit trails, accessibility to GIGW 3.0, documentation that answers each clause of a bid document, and services designed around Aadhaar-based authentication and DigiLocker where a department uses them.
A general insurer collects personal data through its website, its app and its agents, and must give itemised notices and keep consent records once the Data Fiduciary duties apply from May 2027.
An Indian software company sells an AI feature to European customers, so the output is used in the Union and the EU AI Act can apply under Article 2(1)(c).
An asset management company has to report listed cyber incidents to CERT-In within six hours of noticing them, while also meeting SEBI’s Cybersecurity and Cyber Resilience Framework.
Careers
Our engineers, architects and consultants build AI systems, enterprise software and cloud platforms for public bodies and companies in Europe. Roles are based at our European offices; the work reaches real users, and the people around you care about getting it right.
Practices
A first meeting covers your business requirement, the systems in place and the most useful next step. No presentation is needed from your side.
One delivery lead is accountable for the programme, whether it covers your Indian entity, your European subsidiaries or both.
