Custom CRM development, modernization and SaaS engineering — delivered end to end, with zero handoffs.

It depends on where you are. If you have a legacy Salesforce, Zoho or Dynamics deployment slowing your team down → Modernization. If you need a CRM no off-the-shelf product can give you → Product Engineering. If you want to ship a CRM as a SaaS to other businesses → SaaS Development. The two-week discovery sprint matches the right service to your situation in writing — not in a sales call.

Yes — this is where the CRM practice meets our GenAI team. We build predictive lead and deal scoring with explainability built in, agentic workflows where the agent emails, messages and updates records on its own with human-in-the-loop, and conversational copilots embedded in the CRM that summarise pipeline, draft updates and surface next-best actions. Models run on your cloud with audit logs and bias monitoring. We’ve shipped LLM-based copilots into Salesforce, HubSpot and custom CRMs this year.

Discovery is a paid fixed-scope sprint ($4K–$8K, two weeks). Build phases are quoted fixed-scope after discovery — a modernization project runs $40K–$80K, a full custom CRM $80K–$150K depending on data, integrations, and scale. Multi-tenant SaaS engagements price by milestones. Ongoing run-and-evolve support is monthly retainer based on volume.

A modernization ships in 10–14 weeks from kick-off — discovery (2 weeks), architecture (2 weeks), build and migrate (6–8 weeks), validate (2 weeks), then a single-day cutover. A full custom CRM runs 14–22 weeks depending on integrations and data complexity. SaaS engagements ship the first paying tenant in 12–16 weeks. Every Friday from kick-off you get a working demo — no big-reveal surprises at the end.

Yes — these are core integrations, not after-thoughts. WhatsApp Business API with templates, opt-in handling and inbound routing as conversation threads. AI Voice Agents for 24/7 inbound calls that qualify, route and log into the CRM. Omnichannel — a unified inbox across WhatsApp, voice, Instagram, Facebook, email and live chat tied to one customer record. We’ve shipped all three as productised solutions; happy to show them live in discovery.

In-tenant deployment on your cloud (AWS, Azure, GCP or on-prem) — your data never leaves your boundary. DPDP Act compliance is built in for Indian deployments: consent management, data residency in Mumbai or Hyderabad regions, breach-notification runbooks, and a Data Protection Officer interface baked into the system. We also map to HIPAA, SOC 2, GDPR and PCI-DSS where applicable and sign DPAs / BAAs upfront. Encryption at rest and in transit, PII redaction at extraction, full audit trails by default.

Yes — that’s the default. Migration runs in staged audit-grade batches with row-by-row reconciliation reports and checksum validation at every step. Shadow-write keeps the new system writing alongside the old for 7–14 days, rollback playbooks are tested in dry-runs before live cutover, and the loss rate is measured and reported — published, not promised. We’ve moved 5M+ records this way; we’ll show you the runbook in discovery.

We’re platform-agnostic and evaluate against your real workflow in discovery. Typical picks: HubSpot for marketing-heavy SMBs, Salesforce for enterprise sales orgs needing deep customisation, Zoho for cost-sensitive mid-market, custom-built when no off-the-shelf product fits the workflow or unit economics. We never lock you into a platform because of our skill profile — we build all four.