AI agents
Agents that read context, decide and take real actions in business systems — with the guardrails an enterprise needs before it says yes.
AI · Automation · Enterprise technology
Enterprise AI that runs inside the systems you already trust.
DulipTech designs, builds and operates AI systems for the enterprise — from agents that act on live CRM data, to the integrations, cloud and data engineering underneath them.
- Headquarters
- Noida, India
- USA (Near Shore)
- Canada & Mexico
- Building since
- 2023
Technology built around outcomes, not deliverables.
DulipTech started in 2023 as a Salesforce specialist. Today we are an engineering and product company: we take enterprise problems from a first conversation through to systems running in production — and we build our own AI software while we do it.
Most enterprises do not have an AI problem. They have a data problem, an integration problem, and a change problem — with AI sitting on top. We work across all four, which is why our teams pair AI engineers with people who have spent years inside CRM, cloud and data platforms.
Our teams work onsite, offsite and offshore across India and Europe, and stay with a system after go-live. That combination — product engineering discipline plus long-running support — is what lets a client move from an idea to something their business genuinely depends on.
- Artificial intelligence
- Enterprise automation
- Salesforce & CRM
- Cloud engineering
- Data & analytics
- Digital transformation
- Custom software
- Enterprise integration
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- Clients served
- 0
- Projects delivered
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- Hours of support
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- Dedicated professionals
AI that moves beyond experimentation.
Pilots are easy. Getting an AI system to survive real users, real permissions and real data is the hard part. We help teams choose use cases that are worth building, then engineer them to hold up in production.
Intelligent automation
Process work that used to need a person reading a screen: classification, extraction, routing, drafting and follow-through.
Generative AI
Grounded generation for documents, summaries, replies and analysis — anchored to your own records instead of a public model's guesswork.
AI inside CRM
Intelligence where the work already happens — inside Salesforce records, list views and consoles, not in a separate tool nobody opens.
Intelligent workflows
Multi-step business processes where AI handles the judgement calls and hands off cleanly to a human when it should.
Data intelligence
The unglamorous layer that decides whether AI works: modelling, quality, lineage and access, done before the model is chosen.
AI integrations
Connecting models, vendors and internal services with retries, rate limits, cost controls and an audit trail that stands up to review.
Enterprise governance
Permissions, policy checks, logging and human review built in from the start, so security and legal are not the last blocker.
DulipTech
Gyeno AI
Flagship product
Meet Gyeno AI.
DulipTech's AI platform for intelligent enterprise workflows — built natively inside Salesforce, so agents work on live records under the permissions you already enforce.
Gyeno lets teams build two kinds of AI without writing code. Agents hold a conversation, reason across several steps and take real actions. Prompt agents do one focused job on a record — read it, decide, write the result back to fields.
- Conversational AI agents
- Prompt agents for record tasks
- Enterprise actions on live data
- Salesforce-native by design
- WhatsApp and multi-channel
- Human handoff and review
- Policy guardrails and audit trail
- Visual builder, no code required
Gyeno Studio
Renewal Desk
Live
AccountNorthwind TradersACC-4471
Renewal is due in three weeks. Check the account and get it moving.
Reading the account, open cases and last renewal terms…
- Query 3 open cases, 1 expiring contract
- Reason Renewal at risk — pricing objection logged
- Action Updated Opportunity stage to Negotiation
- Action Drafting WhatsApp summary for the account owner
- Review Awaiting human approval before send
4 of 5 steps · 2 records updated · policy check passed
From a request to a business outcome.
- 1RequestA person asks, or a record changes.
- 2UnderstandingIntent, context and record scope.
- 3ReasoningPlan the steps, pick the actions.
- 4Enterprise dataRead live records under real permissions.
- 5ActionWrite back, notify, escalate, integrate.
- 6OutcomeWork completed, with a full audit trail.
Technology services built for what comes next.
Eight practices, one delivery team. Most engagements start in one and pull in two or three others once the real shape of the problem shows up.
AI & intelligent automation
We start by finding the handful of processes where AI actually pays for itself, then build them end to end — model choice, prompt design, evaluation, fallbacks and the boring operational work that keeps them running after launch.
- Use-case discovery and value modelling
- Document understanding and extraction
- Classification, routing and drafting
- Evaluation harnesses and regression checks
- Cost, latency and rate-limit controls
Enterprise AI agents
Agents that do more than answer. We design the action surface, the permission model and the human checkpoints first, then build agents that can be trusted to touch production records.
- Agent design, tool and action registries
- Multi-step reasoning with safe retries
- Human-in-the-loop approval flows
- Channel delivery including WhatsApp and chat
- Guardrails, logging and audit trails
Salesforce & CRM solutions
The practice DulipTech was founded on. Architecture, build, packaging and rescue work across Sales, Service and custom clouds — including managed packages published to AppExchange.
- Solution architecture and technical design
- Apex, Lightning Web Components and Flow
- Managed package development and release
- Security review, sharing and compliance
- Org consolidation and technical debt reduction
Cloud & digital transformation
Modernising the platforms underneath the business — moving workloads, replacing brittle systems and giving teams an environment they can ship into weekly rather than quarterly.
- Cloud architecture and migration planning
- Environment strategy and CI/CD pipelines
- Legacy system replacement, phased
- Cost and performance optimisation
- Operating model and enablement
Data & analytics
Reporting is the visible part; the modelling underneath is what makes it true. We build the pipelines, definitions and quality checks that let leadership trust a number without asking who calculated it.
- Data modelling and warehouse design
- Pipelines, quality rules and lineage
- Executive and operational dashboards
- Metric definitions and governance
- AI-ready data preparation
Custom software engineering
Product teams for the systems that have no off-the-shelf answer — web applications, internal platforms and portals, built to be handed over and maintained by someone other than us.
- Product discovery and technical shaping
- Web and API engineering
- Design systems and front-end architecture
- Automated testing and release engineering
- Documentation and handover
Enterprise integration
Most enterprise pain lives between systems. We build the synchronisation layers — bidirectional, conflict-aware and observable — that keep CRM, marketing, ERP and finance telling the same story.
- Bidirectional and multi-tenant synchronisation
- Event-driven and batch integration patterns
- Conflict resolution and replay handling
- Monitoring, alerting and error recovery
- API design and partner integrations
Managed technology services
Long-running ownership after go-live: a named team that knows the system, holds the backlog and keeps improving it — the work behind our 30,000 hours of support.
- Application support and incident response
- Release management and change control
- Continuous improvement backlogs
- Platform upgrades and seasonal releases
- Dedicated and blended team models
AI built for real-world industries.
Where our teams have delivered, and what becomes possible once agents can read and act on the systems those industries already run on.
Automotive & dealerships
AI-powered possibilities: qualifying enquiries around the clock, keeping service schedules full, and giving advisors a written history of every customer conversation without anyone typing it up.
Manufacturing
AI-powered possibilities: quotation and specification support, field service logging by voice, and connecting order, inventory and customer records that usually live in separate systems.
Insurance
AI-powered possibilities: first-notice-of-loss intake, document extraction from submissions, and consistency checks across policy and claim records before a human reviews them.
Life sciences
AI-powered possibilities: structured summarisation of field interactions, controlled content generation, and audit-ready records for processes that regulators expect to be able to trace.
Sales & service
AI-powered possibilities: pipeline hygiene handled automatically, renewal and churn signals surfaced early, and case deflection that hands off to a person before a customer gets frustrated.
Enterprise operations
AI-powered possibilities: contract and revenue schedules maintained without spreadsheets, approvals routed by policy, and internal requests answered from systems rather than inboxes.
Why organisations choose DulipTech.
We are small enough to care about the detail and experienced enough to know which details matter.
AI-first thinking
We evaluate where AI genuinely changes the economics of a process, and say so plainly when a simpler automation would do the job better.
Enterprise-grade engineering
Permissions, error handling, limits, tests and rollback plans are part of the first version, not a hardening phase that never gets funded.
Deep platform expertise
Years inside Salesforce, cloud and integration platforms. We know where these systems bend, and where they break.
From strategy to execution
The same team that shapes the business case writes the code and stays for the release. Nothing is lost in a handover to delivery.
A product mindset
We build and ship our own software, including Gyeno AI. That discipline shows up in the systems we build for clients.
Long-term partnership
Most of our work is with clients we have supported for years. We optimise for the second and third year, not the first invoice.
From an idea to something production depends on.
Six stages. Each one ends with something real — a decision, a prototype, a release — rather than a document.
- 01Discover
Understand the process, the systems and the constraints. Agree what success would look like in numbers.
- 02Design
Architecture, data model and interaction design. Decisions written down where the team can argue with them.
- 03Build
Short iterations against a working environment. Something demonstrable at the end of every cycle.
- 04Integrate
Connect to the systems that matter, with the failure cases handled before anyone calls it done.
- 05Deploy
Controlled release, migration and enablement. Users trained on the version they will actually get.
- 06Scale
Measure, tune and extend. Support that keeps the system improving instead of merely alive.
What we've built.
Engagement summaries, described by the shape of the problem. Client names and figures are added once each account approves them.
A Salesforce-native AI agent platform, taken to product
Designed and built a packaged AI agent builder that runs entirely inside Salesforce — visual agent design, an action registry, multi-step reasoning with checkpoint and resume, and channel delivery including WhatsApp.
Contract, amendment and revenue scheduling for a services provider
Replaced spreadsheet-driven revenue schedules with a contract module that generates monthly schedules automatically and handles credit notes, upsell, downsell and churn as first-class amendment types.
Multi-portal synchronisation between marketing and CRM
Built a bidirectional sync framework connecting several marketing portals to a single CRM, with conflict handling, replay and monitoring so business units keep their autonomy without the data diverging.
Voice-first field capture for a distribution business
A field logging experience where staff speak instead of type: speech captured on a mobile device, structured by AI into the right records, and written back to CRM before the visit is over.
Trusted by teams building what's next.
What partners say about working with us — on the delivery, the engineering discipline, and what happened after go-live.
We had already tried two AI pilots that demoed well and died in security review. DulipTech started from the opposite end — permissions, audit trail and failure handling first, agent second. It went live in one region in eleven weeks and we have since rolled it out to four more without a rewrite.
Our revenue schedules lived in three spreadsheets and one person's head. The contract module they built handles amendments, credit notes and churn properly, and month-end close now takes an afternoon instead of a week.
They told us twice that AI was the wrong answer and a simple integration would do the job for a fraction of the cost. That is not a normal thing for a vendor to say, and it is why they still have the account.
The sync between our marketing portals and CRM had been a running incident for two years. Their framework handles the conflicts and shows us exactly what failed and why. We have not had to escalate it once since handover.
Your next technology advantage starts here.
Whether you are exploring AI, modernising enterprise systems or building a new digital product, we can help you work out whether it is worth doing — and then build it.
Let's build what's next.
Tell us what you are trying to do. We will come back with a point of view, not a brochure.