From predictive infrastructure scaling to compliance-grade language models, these are the patterns we build most often. Not abstract capabilities — real, deployed shapes of AI work.
Lisa is Sarvaswa’s flagship AI receptionist, built for clinics and healthcare practices. She understands callers in natural conversation, books appointments, answers questions about the practice, and updates the CRM in the background, turning the front desk into 24/7 capacity without changing the team’s workflow. Patients get a calm, accurate voice; clinic owners get fewer no-shows, fewer dropped calls, and a reception layer that scales with practice growth.
Where it fits
Dental and medical clinics, multi-location practices, telehealth providers, after-hours triage, allied-health front desks
MARKETING · AGENCIES
End-to-end AI marketing engine for agencies
A complete marketing-operations engine, shipped for the US-based agency Robomarketer. The system writes social posts, designs ad creatives, builds ad-sets and campaigns, and reports back on ROI, CPC, and predictive performance, automatically. Humans stay in the loop through Slack approve/reject commands, every approval and rejection trains the orchestration layer, and continuous competitor research means agency clients get briefed with data, not vibes. Built on AWS with commercial-model integrations and a feedback loop.
Where it fits
Marketing agencies, performance and growth teams, in-house brand orgs, anyone running multi-channel paid media
D2C · MARKETING
Claude for D2C performance marketing
A custom Claude MCP connector that turns Meta Ads and Google Ads into a question-and-answer experience inside Claude. Eighteen tools today — weekly reports in thirty seconds, creative-fatigue detection with AI-drafted replacement copy, wasted-spend audits with copy-paste-ready negative-keyword lists, daily anomaly scans correlated with your account change history, and any free-form question your dashboards can’t answer. Read-only by design, in your tenant, in your account currency. Free during early access.
Where it fits
D2C founders running their own ads, in-house performance marketers on Meta + Google, and agencies juggling multiple D2C clients across the same two channels
All-in-one agentic operating system for real estate
A single autonomous system that runs an entire real estate agency end-to-end. It maintains a centralised CRM with a per-customer knowledge base, runs AI-assisted outbound across calls, SMS, WhatsApp, and Instagram, and moves leads through the right sequence without manual triage. It markets properties across channels, generates presentations and brochures on demand, and keeps listings, outreach, and the CRM perfectly in sync, so agents spend their time closing, not coordinating.
Where it fits
Real estate brokerages, multi-agent property teams, developer sales offices, residential and commercial portfolios
VOICE · INFRASTRUCTURE
Voice AI infrastructure at 95 ms speech-to-speech latency
A pluggable speech-to-speech runtime engineered around a 95-millisecond round-trip target. The cascading layer sits across AWS and Linux bare metal, so latency-sensitive deployments can pick the right substrate per tenant. STT, TTS, and LLM components are all swappable, bring any provider, model, or fine-tune through the same pipeline, plugins, and observability surface, and ship voice agents that feel like real conversation, not a delay.
Forecast load from historical transaction patterns and scale GPU/CPU fleets ahead of demand. Run lean by default, react before spikes hit, and surface utilisation, cost, and projected load in a single observability layer. On a recent regulated-enterprise workload the same engine cut monthly compute cost ~40% while keeping 100% of inference inside the client’s infrastructure.
Where it fits
High-throughput LLM inference, transaction APIs, regulated workloads under cost and compliance pressure
DATA · AGENTS
Intelligent data analysis with sub-agent orchestration
A layered, sub-agent-driven engine that takes natural-language intent and turns it into the right sequence of skills, queries, and tool calls. It connects to your databases, data warehouses, spreadsheets, and Parquet files, routes work to the right specialist agent, and gives the user back a clean, trustworthy answer instead of a raw data dump. Built for teams that have data but not enough analysts.
Where it fits
Analytics-heavy teams, finance and operations, business intelligence, internal data tools, RAG-driven copilots
INTERNAL · DATA OPS
Slack data copilot for Airtable & Google Sheets
A read-only Slack bot that answers plain-English questions about your Airtable bases and Google Sheets, with sourced links, audit log, and an admin page for cost and feedback. No training, no view-hunting, no dependency on the ops person. Built for teams that already run on Airtable and Sheets and want every team member to self-serve data.
Where it fits
Operations, finance, project teams, professional-services agencies running on Airtable + Google Sheets
Lexxy, a personal AI companion that learns your patterns
Lexxy is a daily AI companion that learns the user’s habits, lifestyle, and language over time. It journals with them, surfaces patterns they would miss on their own, and powers a Soundroom that records meetings and reflects back on tone, decisions, and personal credibility, turning every conversation into a memory the user actually owns. Built for individuals who want an AI that grows with them, not a chatbot that resets.
Where it fits
Consumer wellbeing apps, executive copilots, personal CRM products, journaling and reflection tools
Not on this list?
Most engagements start with a problem we have not solved before.
If your use case is not listed here, that is usually a good sign. Tell us what you are trying to ship and we will tell you whether we are the right team to build it.
