Shipped, not shelved
Every engagement is scoped around a live launch date and a number you can point at afterwards. We are judged on what runs in production and keeps running, never on how good the demo looked.
AI Solutions
Intelligent systems that
earn their place in your business
AnnovaSol builds AI that does real work. Autonomous agents that finish tasks across your tools. Voice agents that answer every call and book the job. Chat assistants that answer from your own documents with citations. Language models wired properly into the product you already have.
We have been engineering AI first software since 2022, and we care about one thing above everything else. Does it run in production, and can you point at what it changed?
AI AgentsVoice AIChatbots and RAGLLM IntegrationAutomation
50+
AI and software projects delivered
96%
Job success rate across engagements
4 to 6
Weeks from kickoff to production
What We Build
Four ways we put AI to work
Most projects start with one of these and grow into two or three. Open any of them for the full detail, the process, and what it costs you in time.
LangGraphMCPTool Calling
AI Agents
We build autonomous AI agents that log into your tools, follow your rules, and carry a task from the first trigger to the final result. Not a chat window that gives advice. A teammate that does the work and reports back.
- Custom agent design
- Tool and API orchestration
- Multi agent workflows
ElevenLabsWhisperRealtime API
Voice AI
Real time voice systems that answer your phones, make outbound calls, understand what the caller means, and finish the task inside your systems before the call ends. Natural turn taking, sub second responses, no robotic script reading.
- Inbound call agents
- Outbound campaigns
- Real time pipelines
RAGVector SearchCitations
Chatbots and RAG
Retrieval augmented chat assistants that read your documents, your product catalogue, your policies, and your database, then answer with citations you can click. Accurate on day one, honest when it does not know.
- Customer facing assistants
- Internal knowledge assistants
- Document intelligence
OpenAIClaudeLangChain
LLM Integration
We take the software and workflows you already run and add intelligence where it changes the outcome. Model selection, prompt architecture, evaluation, cost control, and a deployment that holds up under real traffic.
- Model selection and benchmarking
- Prompt and context architecture
- Feature engineering
Not sure which one fits? Tell us the problem and we will tell you honestly what it needs.
Why AnnovaSol
The real difference shows up after the demo
Impressive prototypes are easy to find. What decides whether AI pays for itself is scope, data access, measured accuracy, and who owns the thing at the end. That is exactly where we are strongest.
Senior engineers on the build
The people writing your prompts also write your infrastructure, your APIs, and your tests. AI creates value only when it is wired into real software by people who can build both sides.
Model agnostic by design
We benchmark Anthropic, OpenAI, Google, and open weight models against your actual tasks and pick on evidence. Swapping later is a configuration change, never a rebuild.
Accuracy you can measure
Every system ships with an evaluation suite built from your real examples, so quality is a number on a dashboard rather than a feeling in a meeting.
Your data stays yours
Enterprise endpoints with training disabled, deployment into your own cloud when you need it, and self hosted open models when the data genuinely cannot leave.
Full ownership on handover
Code, prompts, infrastructure, and documentation are yours from day one. No black boxes, no per seat toll on something you already paid to have built.
How We Work
A process built for people who need this live, not admired
Five stages, clear milestones, and working software in front of you within the first two weeks.
01
Free scoping call
Forty five minutes on your workflow, your systems, and your goal. You leave with an honest opinion on whether AI is the right tool, even when the answer is no.
02
Proposal and fixed scope
A written plan with milestones, a timeline, a price, and the success metric we will be measured against. No open ended hourly drift.
03
Build in short cycles
You see working software every week, tested against your real data, with accuracy and cost tracked from the first release rather than the last.
04
Pilot with real users
We run beside your team, tune with real usage, and only widen the rollout once the numbers hold up under actual conditions.
05
Launch and support
Deployment into your environment, monitoring and alerts wired up, documentation and training handed over, then thirty days of tuning included.
No Pressure
Bring us the workflow that annoys you most
Forty five minutes, no slide deck, no obligation. You get a clear read on whether AI solves it, what it would take, and what it would cost.
We reply within 24 hours with a clear plan, a timeline, and a number.
Industries
Where our AI systems are already running
We work across sectors, and the pattern repeats. Wherever people repeat the same decision fifty times a week, there is something worth automating.
Healthcare and clinics
Booking agents, intake automation, and assistants grounded in clinical documentation with privacy controls built in from the start.
Real estate
Instant lead response, listing assistants, viewing scheduling, and CRM hygiene handled without another coordinator on payroll.
Ecommerce and retail
Product discovery in plain language, order and returns support, and back office automation across your storefront and warehouse tools.
Professional services
Proposal drafting, contract analysis, research agents, and internal knowledge assistants that free senior people from repetitive work.
SaaS and startups
AI features inside your own product, from copilots to smart search, engineered to survive real traffic and a real invoice.
Logistics and operations
Document extraction, exception handling, status chasing, and reporting agents that keep the operation moving without manual chasing.
What You Get
What every AnnovaSol engagement includes
Same standards on a two week build and a six month platform. These are not upsells.
Built with
LangGraphLangChainModel Context ProtocolOpenAIClaudeGeminiLlamaElevenLabsWhisperPineconepgvectorPythonFastAPINext.jsTypeScriptPostgreSQLRedisDockerAWSVercel
- A named engineer who knows your project, not a rotating support queue
- Weekly demos of working software instead of status decks
- Cost per run and accuracy reported from the first week, not the last
- Everything deployed in your cloud or ours, whichever your policy demands
- Full source code, prompts, and documentation handed over on completion
- Thirty days of post launch tuning included in every engagement
FAQ
Questions buyers ask us before signing
Straight answers, including the ones that cost us work sometimes.
Which AI solution is right for my business?
Start from the pain rather than the technology. If your team is drowning in repetitive multi step work, that is an agent. If you are losing calls, that is voice. If people cannot find answers in your own documents, that is retrieval augmented chat. If you already have a product and want it to feel smarter, that is LLM integration. Our scoping call exists to make this decision for you in under an hour.
How much does an AI project cost?
Focused builds usually land in the low thousands of dollars, and larger multi system platforms scale from there. We quote a fixed scope with milestones after the scoping call, so you know the number before any work starts.
How long until we see something working?
You see working software inside the first two weeks and most projects reach production in four to six. Timelines stretch mainly when data access, API credentials, or internal approvals are slow, so we flag those dependencies on day one.
Do we need clean data and technical staff to start?
No. Very few companies have tidy data, and we build around what is actually there. We handle the parsing, cleaning, and pipeline work, and we design the system so a non technical team can operate it every day.
Is our data safe and private?
Yes. We use enterprise endpoints where model providers do not train on your content, we scope access to only what a system needs, and for sensitive workloads we run open weight models entirely inside your own infrastructure.
What happens after launch?
Every engagement includes thirty days of tuning and support after go live. Beyond that, most clients keep us on a monthly retainer for monitoring, improvements, and the next workflow on the list.
Do you work with clients outside Pakistan?
Most of our clients are in the United States, the United Kingdom, the Gulf, and Europe. We overlap working hours with your team, run everything in English, and have been doing remote delivery since 2022.
Ready to Start?
Your competitors are already testing this.
Let's put yours in production first
Tell us what your team keeps doing by hand, or the feature your product is missing. We will come back within 24 hours with a plan, a timeline, and a number.
We reply within 24 hours with a clear plan, a timeline, and a number.