AnekantSix services. One standard: it runs in production.
Every engagement below ends with working software — deployed, monitored, and handed over with documentation. No strategy decks, no prototypes that die in a folder. Here is exactly what we build, when each service is the right call, and what you get at the end.
AI & LLM Integration
Claude and GPT wired into your actual workflows — retrieval over your documents, agents that use your tools, and evaluation suites so you know when answers degrade. This is our deepest practice area, covered in full on its own page.
What we build
- Retrieval-augmented assistants grounded in your own documents and data
- Agent workflows that call your CRM, calendar, and internal APIs
- Document extraction and classification pipelines
- Eval harnesses that keep answers honest after launch
Good fit when
- Your team answers the same questions from the same documents, every day
- A workflow needs judgment plus tool access — not just a chatbot
- You tried a demo that impressed everyone and then broke on real data
- Deliverables
- Deployed assistant or agent, retrieval index over your data, eval suite with pass/fail thresholds, admin dashboard, handover docs.
- Typical timeline
- 3–8 weeks from kickoff to production.
WhatsApp & Messaging Automation
For businesses in India — and anywhere WhatsApp is the default channel — your customers are already there. We put your business there properly — official Business API integration, an AI-assisted team inbox, campaign tooling, and order flows that complete inside the chat.
const flow = defineFlow({ trigger: "catalog_message", steps: [ collectItems(), // interactive list confirmAddress(), takePayment("upi_link"), notifyTeam("#orders"), ], fallback: handToHuman(), // always });
What we build
- WhatsApp Business API onboarding on your own number
- One shared inbox where your team and AI automation work together
- Template and broadcast campaigns with delivery analytics
- Order and booking journeys — catalog to payment to confirmation
Good fit when
- Orders, bookings, or support already arrive on WhatsApp — informally
- Your team copy-pastes the same replies dozens of times a day
- You run campaigns by forwarding messages and can't measure results
Deliverables
- Verified Business API setup with your number
- Team inbox with AI-suggested replies and human handoff
- Campaign and template manager with analytics
- Automated conversation flows for orders or bookings
Custom Web Platforms
Full products from database schema to pixels — internal dashboards, customer portals, and multi-tenant SaaS. React and Next.js front ends on typed APIs, with real-time sync where the work is collaborative.
What we build
- Operations dashboards that replace spreadsheet chaos
- Customer and partner portals with roles and permissions
- SaaS products with billing and multi-tenancy
- Real-time collaboration — live cursors, presence, instant sync. SynCode runs on exactly this stack
Good fit when
- The business runs on spreadsheets that only one person understands
- Off-the-shelf tools cover 70% and the missing 30% costs you daily
- You're productizing an internal process into something sellable
Deliverables
- Deployed application with staging and production environments
- Typed API with documentation
- Auth, roles, and an admin panel
- CI/CD pipeline and monitoring
- Frontend
- React or Next.js, server rendering where SEO matters, WebSockets or CRDT sync for collaboration.
- Backend
- Node/TypeScript or Python/FastAPI, Postgres or D1, typed end to end.
- Typical timeline
- 4–10 weeks to first production release, then iterate.
Data Pipelines & Scraping
The public data your business needs — tenders, listings, prices, filings — collected on schedule, cleaned into a queryable store, and pushed to you as alerts before your competitors read it manually.
from pipeline import source, clean, alert async def run(): rows = await source.fetch("gov-portals") rows = clean.dedupe(clean.normalize(rows)) await store.upsert("tenders", rows) matches = store.query(saved_filters) await alert.send(matches, via="whatsapp") # runs every 30 min · retries · dedupes
What we build
- Resilient collectors for portals, marketplaces, and industry sites — respectful of robots.txt and terms
- Deduplication, normalization, and schema mapping that make the data usable
- A queryable store with saved searches
- Alerts to email or WhatsApp. TrackTender is this service, productized
Good fit when
- Someone on your team checks the same websites every morning
- Deals or deadlines are missed because nobody saw the posting in time
- You need structured, historical data that no one sells as an API
Deliverables
- Scheduled collectors with retry and failure alerting
- Cleaned, deduplicated, queryable database
- Search interface or API over the data
- Alert rules delivered to email or WhatsApp
Serverless & Edge Backends
APIs on a serverless edge network — close to every user, near-zero cost when idle, and no servers to patch at 2 a.m. Our default backend for new products, and a clean migration target for overpriced VPS setups.
What we build
- REST and webhook APIs as serverless edge functions
- Relational data in edge SQL; media in object storage with no egress fees
- Sessions and config in KV storage
- Background work — notifications, imports, retries — through queues
Good fit when
- Traffic is spiky or unpredictable and you pay for idle servers anyway
- Users are global and latency from a single region hurts
- You want infrastructure a small team can actually operate
Deliverables
- Deployed Workers API with staged rollouts
- D1 schema with migrations, R2 and KV wiring
- Queue-based background jobs with dead-letter handling
- Observability: logs, alerts, and a runbook
- Compute
- Deployed globally at the edge, with no cold starts in practice.
- Data
- D1 (SQLite at the edge), R2 object storage, KV for hot reads.
- Async
- Queues for background jobs, Cron Triggers for schedules.
- Cost profile
- Scales to near zero when idle; generous free tiers before any bill.
MVP & Product Sprints
Idea to a live product real users can touch — in weeks. Fixed scope, weekly demos, and a bias for cutting features over slipping dates. You validate with users instead of documents.
- Week 0
- Scoping session: the one job the MVP must do, and everything we cut.
- Week 1
- Walking skeleton deployed — thin, clickable, honest about risk.
- Weeks 2–4
- Core flows built out. Demo every Friday; scope adjusts, dates don't.
- Launch
- Live product, real users, analytics wired. Decide from evidence.
What we build
- The one core flow that proves or kills the idea
- Auth — and payments, if the business model needs them
- Analytics wired in, so launch day produces data
- Built on our long-lived stack — the MVP that works isn't thrown away
Good fit when
- You need something real in front of users or investors this quarter
- The idea is validated in conversations but not in software
- You'd rather learn from a small launch than perfect a big one
Deliverables
- Live product on your domain
- Weekly demo recordings and a decision log
- Analytics and feedback instrumentation
- Codebase and docs you fully own
Boring where it should be, sharp where it counts
A small, well-worn set of tools we know deeply — chosen for reliability and operating cost, not novelty.
AI
Backend
Frontend
Data
Messaging
Three ways to work with us
Sprint
A fixed-scope build with a defined end state — an MVP, an automation, an integration. Weekly demos, a hard deadline, and a clean handover.
FIXED SCOPE · MEASURED IN WEEKSBuild & Run
We build the product and stay on to operate and iterate it — monitoring, evals, feature releases. The default for AI systems, which need tending after launch.
PRODUCT + ONGOING ITERATIONAdvisory
Architecture reviews, AI-readiness assessments, and build-vs-buy calls before you commit budget. Short, direct, and written down.
ARCHITECTURE · AI READINESSNot sure which service fits?
Describe the problem in plain language. We'll reply within a day with an honest read on the right approach — including "you don't need us" when that's true.
Start the conversation