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Assistants over your data
Chat and question-answering over manuals, policies, tickets and product data with retrieval, citations, access control and escalation to a human.
Singapore services
AI development · Singapore
AI development company serving Singapore with features that ship, not demos.
SpikeSecure builds practical AI features for Singapore companies from Coimbatore, India: LLM-powered assistants and chat, document and email extraction, semantic search, recommendations, demand forecasting and content moderation, integrated into your existing products and workflows, delivered as fixed-scope pilots with measured results before scaling.
- 4–8 wkstypical AI pilot
- 3AI systems in our own products
- Evalmeasured before scaling
- 48 hrsto a proposal
Direct answer
What AI development does SpikeSecure offer Singapore companies?
SpikeSecure builds applied AI features for Singapore companies from its engineering team in Coimbatore, India: assistants and chat over your own documents and data, extraction of fields from invoices, forms, emails and contracts, semantic search across knowledge bases, recommendations and personalisation, demand and workload forecasting, and moderation of user-generated text, images and audio. Features are built on hosted models from Anthropic, OpenAI and Google or on open models where data residency requires it, with retrieval, evaluation sets and guardrails so behaviour is measured rather than assumed.
We approach AI as software engineering: a four-to-eight-week fixed-scope pilot with a defined success metric, an evaluation set built from your real cases, human review where the cost of error is high, and integration into the product or workflow where the work actually happens, rather than a standalone chatbot. AI already runs in our own products: moderation across six Indian languages on Local Friends, AI visibility tracking in our SpikeSEO plugin, and our SpikeAssist chat platform. Work is under NDA, in your repositories, with model accounts in your name.
- Engagement: fixed-scope pilot of 4–8 weeks with a success metric, then a fixed-scope build to production; priced per feature in SGD, USD or INR after discovery rather than from a published range.
- What is included: use-case discovery and data review, evaluation set from real cases, prototype, integration into your product or workflow, guardrails and monitoring, documentation and a 30-day warranty on the shipped feature.
- Models and hosting: Anthropic, OpenAI and Google hosted models through your own accounts, or open models on your Singapore cloud where data must stay in region; vector search on pgvector, Meilisearch or OpenSearch.
- Where AI already runs for us: AI moderation (Hive with Whisper fallback) on Local Friends, AI visibility tracking in SpikeSEO, and the SpikeAssist chat platform.
- Related: SpikeAssist chat platform, AEO specialist (AI search visibility), software development for Singapore, SaaS development for Singapore, Singapore services hub, international clients
What we build
AI features we build into Singapore products and operations.
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Document and email extraction
Structured fields from invoices, purchase orders, forms, contracts and inbound email, with confidence scores, review queues and export to your systems.
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Semantic search and knowledge
Search that understands meaning across documents, tickets and catalogues, with filters, permissions and analytics on what people cannot find.
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Recommendations and personalisation
Product, content and next-action recommendations from behaviour and catalogue data, evaluated against your current baseline.
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Forecasting and planning
Demand, staffing and inventory forecasts from your historical data, surfaced in the tools your planners already use, as in the forecasting module of a restaurant platform client.
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Moderation and safety
Text, image, audio and video moderation with policy rules, human review consoles and audit logs, the setup that runs on our own live platform.
Singapore client context
Applied AI for Singapore businesses.
Singapore companies are further along with AI adoption than most markets, which means the easy demos are done and the useful work is integration: putting a model inside a process with the right data, controls and measurement.
Data residency and control
Model calls through accounts you own, prompts and outputs logged in your systems, and open models hosted in a Singapore cloud region when your policies or customers require that data does not leave the country. We implement the controls your compliance advisers specify; we do not give legal advice.
Measurement before scale
Every pilot starts with an evaluation set built from real cases and a success metric agreed in writing: extraction accuracy, deflection rate, forecast error, time saved. Features scale when the numbers justify it.
Humans in the loop
Review queues, confidence thresholds and escalation paths wherever the cost of a wrong answer is high, designed into the workflow rather than added later.
Cost control
Model selection by task, caching, batching and small models where they suffice, with per-feature cost dashboards so an AI feature stays a line item rather than a surprise.
Pricing and timeline approach
How we price and schedule ai development for Singapore.
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AI pilot — 4–8 weeks, fixed scope
Discovery, evaluation set, prototype and a measured result on one use case, priced after discovery in SGD, USD or INR. We do not publish a range because AI scopes vary too widely to quote honestly in advance.
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Production build — fixed scope
Integration into your product or workflow, guardrails, monitoring, review tooling and documentation, scoped from the pilot's results.
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Ongoing
Model and prompt updates, evaluation re-runs, cost tuning and new use cases on a maintenance plan or a dedicated team.
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What moves the price
Data readiness, number of integrations, review tooling, model hosting requirements and how many use cases share the same retrieval and evaluation infrastructure.
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Running costs
Model API usage on your accounts, vector storage and hosting in your Singapore cloud region, with cost dashboards delivered as part of the build.
Technology
What we build ai development with.
- Claude
- OpenAI
- Gemini
- Open models on your cloud
- LangChain
- pgvector
- Meilisearch
- OpenSearch
- Python
- FastAPI
- NestJS
- Next.js
- Whisper
- Hive
- AWS Singapore
- Google Cloud
Read how we choose between stacks on the technologies page.
How a project runs
The Singapore project process, step by step.
Scheduled around Singapore afternoons; every step is written into the proposal.
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Discovery — week 1
Two or three video sessions in your Singapore afternoon to map users, integrations and constraints; mutual NDA signed first. You receive a fixed-scope written proposal, usually within 48 hours of the last session.
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Design — weeks 2–3
Wireframes, a design system and a clickable prototype reviewed with your stakeholders before any code is written.
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Build — week 3 onwards
Weekly demos on a staging URL, GitHub access from day one, a Friday written status note, and a shared channel for questions during the overlap window.
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Test — final weeks
Functional, performance, accessibility and security testing against a pre-launch checklist you sign off in writing.
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Launch
Deployment to your chosen Singapore cloud region or app stores, monitoring and backups configured, and a launch-week watch with you.
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Support
30-day warranty, then optional maintenance with monthly reports, or a documented handover to your team.
Security, IP and compliance
What is standard on every Singapore build.
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Mutual NDA first
Signed before any brief is shared, on your template or ours. Sub-contractors are not used without written consent.
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Source code and IP are yours
Repositories, cloud accounts, app store listings, domains and design files are created in your name; we hold no licence over the delivered work.
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Security baseline
HTTPS with HSTS, security headers, OWASP Top 10 review, role-based access, encrypted secrets, audit logs and dependency scanning, plus a penetration test before launch on client-facing systems.
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Data handling
Data stays in the cloud region you choose. We implement the data-protection, retention and consent requirements your compliance advisers specify; we do not provide legal advice on Singapore regulation.
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Performance and accessibility
Core Web Vitals targets, WCAG 2.1 AA checks, and SEO and AEO fundamentals (clean URLs, structured data, llms.txt) built into every web deliverable.
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Continuity
Documentation, infrastructure as code, tested backups and a recorded handover, so a Singapore team or another vendor can take over without us.
Singapore delivery model
How a Singapore project runs with a team in Coimbatore.
SpikeSecure has one office, at CHIL SEZ IT Park, Saravanampatti, Coimbatore, India. Singapore clients are served remotely by that engineering team; there is no Singapore office, entity or local staff, and we do not claim one.
- Working hours. Our day runs 09:30–18:30 IST, which is 12:00–21:00 Singapore time, so every Singapore afternoon overlaps with the team for live calls, demos and same-day fixes. Morning messages are answered by midday SGT.
- Commercials. A written, fixed-scope proposal before work starts, quoted in SGD, USD or INR at your preference and invoiced through Stripe or Wise. Indicative ranges on this page come from our published Indian pricing and are confirmed per project.
- NDA and ownership. A mutual NDA is signed before discovery. Source code lives in a GitHub organisation you own; cloud, app store and domain accounts are in your name from day one; the intellectual property in the delivered work is yours.
- Communication. A named project lead, a shared channel on Slack or WhatsApp, weekly demos on a staging URL, a written status note every Friday and GitHub access throughout.
- Hosting. Deployed to the cloud region you choose, typically AWS or Google Cloud in Singapore for Singapore-facing products, with infrastructure as code so your team or another vendor can operate it later.
- After launch. A 30-day warranty on every build, then optional maintenance with monthly health reports, or a documented handover to your in-house team.
FAQ
AI development for Singapore: your questions answered.
Which AI use cases work well for Singapore SMEs?
Extraction from invoices, forms and email; assistants over internal documents and support knowledge; semantic search across tickets and catalogues; demand and staffing forecasts; and moderation for user-generated content. The common factor is a repetitive task with clear right answers and data you already hold.
Can our data stay in Singapore?
Yes. Open models can be hosted in AWS or Google Cloud Singapore, vector stores and logs live in your region, and hosted-model providers are used only where your policy allows. We implement the residency controls you specify.
Which models do you use?
Anthropic Claude, OpenAI and Google Gemini through accounts in your name for most language tasks, open models on your cloud where residency or cost require it, and task-specific models for moderation and speech. Model choice is per task and reviewed against your evaluation set.
How do you measure whether an AI feature works?
With an evaluation set built from your real cases before the pilot, a success metric agreed in writing, and a comparison against your current process. Results are reported with the numbers, and scaling is decided on them.
Do you build custom machine-learning models?
Where a task needs it, yes: forecasting, classification and recommendation models trained on your data. Most business use cases are served faster and more reliably by hosted or open foundation models with retrieval, which is where we start.
Have you shipped AI in production?
Yes. AI moderation across six Indian languages runs on our Local Friends platform, AI visibility tracking ships in our SpikeSEO WordPress plugin, and our SpikeAssist chat platform includes assistant features. A restaurant-platform client runs AI demand forecasting we can describe on a call.
Where is the team that would build this?
In Coimbatore, India. SpikeSecure has no Singapore office; your project is delivered remotely under an NDA with weekly demos scheduled in your Singapore afternoon (our 09:30–18:30 IST day is 12:00–21:00 SGT).
Who owns the code and the accounts?
You do. Source code goes into a GitHub organisation in your name, and cloud, app store and domain accounts are yours from day one, with the intellectual property in the delivered work assigned to you.
How is a ai development project priced for Singapore?
Per feature after a discovery session, as a fixed-scope pilot followed by a fixed-scope production build, quoted in SGD, USD or INR. We do not publish an AI price range because scopes vary too widely to quote honestly in advance.
Let's build
Have a taskAI should actually do?
A 30-minute discovery call and a fixed-scope quote — usually within 48 hours. No deck, no sales theatre.