// services

Six practices, one team. Built and delivered in-house.

Pick the practice you came for, or talk to us about something that doesn't fit the buckets. Most engagements are hybrids anyway.

01 / 06

AI agents

Tool-using agents that take real action — book meetings, draft replies, query systems, escalate cleanly when uncertain. Eval-driven from day one.

Stack we ship on
ClaudeGPT-4o / GPT-5LangGraphLangfuseTemporal
Engagement includes
Multi-step planning & reasoning
Function/tool calling with strict schemas
Guardrails (input + output) and refusal policies
Eval suites with golden datasets
Cost & latency budgets enforced in CI
Human-in-the-loop interfaces
++ good fit
When deterministic automation breaks down on messy real-world inputs.
-- not a fit
When a 50-line script would do the job. We'll tell you.
02 / 06

Custom AI systems

RAG, fine-tuning, distillation, classifier ensembles. We pick the right tool — not the loudest one — and tune it to your data, latency, and compliance posture.

Stack we ship on
pgvectorQdrantPyTorchvLLMModal
Engagement includes
Hybrid retrieval (BM25 + dense)
Domain fine-tunes & DPO
Model distillation for inference cost
Vector databases & ANN tuning
On-prem / VPC / cloud deployments
Prompt regression testing
++ good fit
When you have proprietary data and generic SaaS AI hits a ceiling.
-- not a fit
When OpenAI off-the-shelf would meet your bar today.
03 / 06

Web & product engineering

Production web applications. Real performance budgets. Real accessibility. We write boring, predictable, well-tested code that ships on Friday.

Stack we ship on
Next.js 14+TypeScriptTailwindPlaywrightVercel / Cloudflare
Engagement includes
Next.js / React / TypeScript
Design systems & component libraries
WCAG AA accessibility
Core Web Vitals budgeting
Edge & serverless deployments
Visual regression + e2e testing
++ good fit
When the product is the brand and "good enough" frontend is killing trust.
-- not a fit
When all you need is a marketing page. Use a no-code tool.
04 / 06

Mobile applications

Cross-platform apps with React Native and Expo. Native modules where they matter. Submitted, reviewed, and updated through the stores — not just demoed.

Stack we ship on
ExpoReact NativeReanimated 3WatermelonDBSentry
Engagement includes
iOS + Android with Expo
Native modules (Swift / Kotlin)
OTA updates and feature flags
Offline-first sync
App Store + Play Store submission
Crash & analytics instrumentation
++ good fit
When the user lives on their phone and a webview won't cut it.
-- not a fit
When responsive web is fine and you're chasing the App Store for vanity.
05 / 06

SaaS build-outs

From wedge to platform. Multi-tenant architecture, billing, RBAC, SSO, audit logs — the boring middleware that compounds into a real business.

Stack we ship on
PostgresStripeWorkOSInngestTrigger.dev
Engagement includes
Multi-tenant data architecture
Stripe billing + metered pricing
RBAC, SSO (SAML/OIDC), SCIM
Audit logs & compliance trails
Admin tooling & internal ops UI
Usage analytics & retention loops
++ good fit
When a prototype is showing pull and the foundation needs to hold.
-- not a fit
When you haven't found the wedge yet. Ship the wedge first.
06 / 06

AI integration & ops

Embed AI into the systems your team already lives in — Salesforce, HubSpot, Slack, your data warehouse, your wiki. We meet workflows where they are.

Stack we ship on
Slack APISalesforceSnowflakeLangfuseOpenTelemetry
Engagement includes
Internal copilots & chat surfaces
Workflow automation (n8n, Zapier, custom)
CRM / ITSM integrations
LLMOps & observability
Prompt versioning & rollouts
Cost monitoring & spend controls
++ good fit
When your team's context lives in 12 tools and AI lives in none of them.
-- not a fit
When you don't actually use those 12 tools yet. Use them first.
// free 14-day audit

The free AI audit. Honestly free.

Two of our senior engineers, two weeks, no contract. You get a written diagnosis of where AI realistically helps, where it doesn't, and what it'll cost.

Day 1–3
Interviews with your team and stakeholders
Day 4–8
Code, data, and workflow review
Day 9–11
Prototype the highest-leverage opportunity
Day 12–14
Written report + readout call
Request your audit
audit-report.md
# AI Readiness Audit · Acme Corp
# Prepared by Royvent · 14 days · no charge
 
## Findings
+ 3 high-leverage opportunities identified
+ Existing data is 78% retrieval-ready
! Compliance posture needs hardening before prod
 
## Recommendations
1. Pilot agent on tier-2 support tickets first
2. Replace generic chat with grounded RAG on docs
3. Skip fine-tuning until volume justifies it
 
## Cost model
phase-1 ROI: ~14 weeks
$
get in touch

Bring us a hard problem.
We'll bring a written plan.

Free 14-day AI audit. Senior team on the call. No rupee or dollar amounts attached until the scope is real.

↳ avg. response < 24h↳ NDA on request↳ India · global delivery